BUG: to_parquet() / read_parquet() cannot round-trip datetime.timezone.utc
- [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
import datetime
import pandas as pd

utc = datetime.timezone.utc
now = lambda: datetime.datetime.now(utc)

df = pd.DataFrame([[now(), "a"], [now(), "b"]], columns=("date", "val"))
df.set_index('date', inplace=True)

df.to_parquet('/tmp/a.parquet')
d2 = pd.read_parquet('/tmp/a.parquet')

# Kaboom
```

#### Problem description

Current behaviour:

* Silently writes a Parquet file that cannot be re-read
* Failure appears to be a missing check during write, however error confusing appears during read

#### Expected Output

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

<details>

INSTALLED VERSIONS
------------------
commit           : b5958ee1999e9aead1938c0bba2b674378807b3d
python           : 3.8.0.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.3.0-24-generic
Version          : #26-Ubuntu SMP Thu Nov 14 01:33:18 UTC 2019
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : en_GB.UTF-8
LANG             : en_GB.UTF-8
LOCALE           : en_GB.UTF-8

pandas           : 1.1.5
numpy            : 1.19.0
pytz             : 2020.4
dateutil         : 2.8.0
pip              : 20.3.1
setuptools       : 40.8.0
Cython           : 0.29.20
pytest           : 6.2.0
hypothesis       : None
sphinx           : 3.2.1
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.5.1
html5lib         : 1.1
pymysql          : None
psycopg2         : 2.8.6 (dt dec pq3 ext lo64)
jinja2           : 2.11.2
IPython          : 7.16.1
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.2
numexpr          : 2.7.1
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 1.0.1
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : 1.5.0
sqlalchemy       : 1.3.20
tables           : None
tabulate         : 0.8.7
xarray           : None
xlrd             : None
xlwt             : None
numba            : 0.52.0

</details>
