BUG: DataFrame resample fails across daylight savings boundary
### 

- [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 pandas as pd
df = pd.DataFrame( {'timestamp': ['2021-03-28T00:37:28.952+01:00','2021-03-28T04:09:36.106+02:00'],'data': [1, 2]})
df = df.set_index('timestamp')
df.index = pd.to_datetime(df.index)
df.resample('H').size()
```


### Issue Description

`pandas.DataFrame.resample()` fails when index crosses a daylight savings boundary. Error as below

`TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'
`


### Expected Behavior

```
timestamp
2021-03-28 00:00:00+01:00    1
2021-03-28 01:00:00+01:00    0
2021-03-28 02:00:00+01:00    0
2021-03-28 03:00:00+02:00    0
2021-03-28 03:00:00+02:00    0
2021-03-28 04:00:00+02:00    1
Freq: H, dtype: int64
```

### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit           : 73c68257545b5f8530b7044f56647bd2db92e2ba
python           : 3.9.2.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.19.0-17-cloud-amd64
Version          : #1 SMP Debian 4.19.194-2 (2021-06-21)
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : C
LOCALE           : en_US.UTF-8

pandas           : 1.3.3
numpy            : 1.21.2
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.2.4
setuptools       : 58.0.4
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 3.0.1
IPython          : 7.27.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 5.0.0
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
