option expiries garbled

[Marshall Farrier]

This issue travels down a dependency chain through `pandas` and `pandas-datareader`, where I've filed the same issue:

- https://github.com/pydata/pandas/issues/12808
- https://github.com/pydata/pandas-datareader/issues/193

Using `python-dateutil 2.4.2`, the dates parse correctly, but when I "upgrade" to 2.5.2, I get garbled expiries, where year and day of month are being confused:

>>> from pandas_datareader.data import Options
>>> tsla = Options('tsla', 'yahoo')
>>> data = tsla.get_all_data()
>>> data.shape
(1064, 13)
>>> data.index.levels[1]
DatetimeIndex(['2008-04-16', '2015-04-16', '2016-09-16', '2017-06-16',
           '2019-01-18', '2020-01-17', '2020-05-16', '2022-04-16',
           '2029-04-16'],
          dtype='datetime64[ns]', name='Expiry', freq=None)
>>> data.index.levels[1].shape
(9,)