BUG: pandas utctimetuple() fails on python3.9 (but not 37) with timezone aware timestamps
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```
Python 3.9.2 (default, Feb 24 2021, 13:26:09)
[Clang 12.0.0 (clang-1200.0.32.29)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> ts = pd.Timestamp("2020-11-27 16:00:00-0500", tz="US/Eastern")
>>> ts.utctimetuple()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pandas/_libs/tslibs/timestamps.pyx", line 1095, in pandas._libs.tslibs.timestamps.Timestamp.__new__
TypeError: an integer is required

>>> ts = pd.Timestamp("2020-11-27 16:00:00", tz="US/Eastern")
>>> ts.utctimetuple()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pandas/_libs/tslibs/timestamps.pyx", line 1095, in pandas._libs.tslibs.timestamps.Timestamp.__new__
TypeError: an integer is required

>>> ts = pd.Timestamp("2020-11-27 16:00:00")
>>> ts.utctimetuple()
time.struct_time(tm_year=2020, tm_mon=11, tm_mday=27, tm_hour=16, tm_min=0, tm_sec=0, tm_wday=4, tm_yday=332, tm_isdst=0)
>>>
```

#### Problem description

This does not happen in python3.7 with whatever the latest pandas is for 37; it happens on 1.2.4 in python3.9. 

Pandas timestamps that are timezone aware fail `.utctimetuple()` however the python JSON encoder calls this function; for example I originally thought this was a flask issue: https://github.com/pallets/flask/issues/3993:

```
return jsonify(aod)
  File "/Users/tommycarpenter/Development/python-indexapi/.tox/py39/lib/python3.9/site-packages/flask/json/__init__.py", line 370, in jsonify
    dumps(data, indent=indent, separators=separators) + "\n",
  File "/Users/tommycarpenter/Development/python-indexapi/.tox/py39/lib/python3.9/site-packages/flask/json/__init__.py", line 211, in dumps
    rv = _json.dumps(obj, **kwargs)
  File "/usr/local/Cellar/python@3.9/3.9.2_1/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 234, in dumps
    return cls(
  File "/usr/local/Cellar/python@3.9/3.9.2_1/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/encoder.py", line 199, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "/usr/local/Cellar/python@3.9/3.9.2_1/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/encoder.py", line 257, in iterencode
    return _iterencode(o, 0)
  File "/Users/tommycarpenter/Development/python-indexapi/.tox/py39/lib/python3.9/site-packages/flask/json/__init__.py", line 91, in default
    return http_date(o.utctimetuple())
  File "pandas/_libs/tslibs/timestamps.pyx", line 1095, in pandas._libs.tslibs.timestamps.Timestamp.__new__
TypeError: an integer is required
```

#### Expected Output

All three variants above work, and timezoning does not affect jsonifying pandas timestamps

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : 2cb96529396d93b46abab7bbc73a208e708c642e
python           : 3.9.2.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 20.3.0
Version          : Darwin Kernel Version 20.3.0: Thu Jan 21 00:07:06 PST 2021; root:xnu-7195.81.3~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.2.4
numpy            : 1.20.2
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.1.1
setuptools       : 53.0.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.3
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None
>>>

</details>
