BUG: Error "no attribute 'total_seconds'" with tzlocal >= 3.0
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

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


### Reproducible Example

```python
import backports.zoneinfo
import datetime
import pandas

res = pandas.to_datetime(
    (datetime.datetime(
        1960, 5, 2, 0, 0,
        tzinfo=backports.zoneinfo.ZoneInfo(key='America/New_York')),
    ),
    errors='coerce')

repr(res)
```


### Issue Description

`pandas.to_datetime` allows the creation of objects with a broken method `__repr__()`. The code example above triggers  

```
AttributeError: 'NoneType' object has no attribute 'total_seconds'
```

The issue was discovered when investigating this: https://github.com/rpy2/rpy2/issues/823#issuecomment-917444202

### Expected Behavior

Completion of `repr()` and a string return instead of an exception raised.

### Installed Versions

<details>


INSTALLED VERSIONS
------------------
commit           : 5f648bf1706dd75a9ca0d29f26eadfbb595fe52b
python           : 3.8.10.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.11.0-27-generic
Version          : #29~20.04.1-Ubuntu SMP Wed Aug 11 15:58:17 UTC 2021
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.2
numpy            : 1.19.5
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 44.0.0
Cython           : 0.29.21
pytest           : 6.2.4
hypothesis       : None
sphinx           : 4.1.2
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.26.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.2
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 4.0.1
pyxlsb           : None
s3fs             : None
scipy            : 1.5.2
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
