pd.Timestamp.utctimetuple() raises TypeError on Python 3.8
Hi there,

it seems that something changed in python 3.8 that makes `pandas.Timestamp.utctimetuple()` raise a `TypeError` instead of producing a `time.struct_time`.

#### Code Sample

```python
In [1]: date = pd.to_datetime("2000-01-01", utc=True)                                                       
In [2]: date.utctimetuple()                                                                                 
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-17-e863c650e721> in <module>
----> 1 date.utctimetuple()

pandas/_libs/tslibs/timestamps.pyx in pandas._libs.tslibs.timestamps.Timestamp.__new__()

TypeError: an integer is required
```

#### Expected Output

With earlier Python versions the output is:
```python
In [3]: date.utctimetuple()                                                                                  
Out[3]: time.struct_time(tm_year=2000, tm_mon=1, tm_mday=1, tm_hour=0, tm_min=0, tm_sec=0, tm_wday=5, tm_yday=1, tm_isdst=0)
```

An intermediate workaround can be to convert to `datetime.datetime` (python 3.8):
```python
In [4]: date.to_pydatetime().utctimetuple()                                                                 
Out[4]: time.struct_time(tm_year=2000, tm_mon=1, tm_mday=1, tm_hour=0, tm_min=0, tm_sec=0, tm_wday=5, tm_yday=1, tm_isdst=0)
```

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

<details>

commit           : None
python           : 3.8.1.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.15.0-1066-oem
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : C
LOCALE           : en_GB.UTF-8

pandas           : 1.0.1
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 45.1.0.post20200119
Cython           : None
pytest           : 5.3.5
hypothesis       : 5.5.1
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.1
IPython          : 7.12.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.1.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : 5.3.5
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : 0.15.0
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None

</details>