BUG: Timestamp.replace chaining not compat with datetime.replace
#### Code Sample, a copy-pastable example if possible

```python
import pytz
import pandas as pd
from datetime import datetime
pytz.timezone('CET').localize(datetime(2016, 3, 27, 1), is_dst=None)
pytz.timezone('CET').localize(pd.Timestamp(datetime(2016, 3, 27, 1)), is_dst=None)
```
#### Problem description

The above code runs with Pandas 0.18 but raises the following exception with Pandas 0.19:
```python
>>> pytz.timezone('CET').localize(pd.Timestamp(datetime(2016, 3, 27, 1)), is_dst=None)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/localhome/stefan/emsconda/envs/popeye/lib/python3.6/site-packages/pytz/tzinfo.py", line 327, in localize
    raise NonExistentTimeError(dt)
pytz.exceptions.NonExistentTimeError: 2016-03-27 01:00:00
```
Is this an intentional API breakage of 0.19 or a bug?

#### Expected Output

<no exception>

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

<details>
INSTALLED VERSIONS

commit: None
python: 3.6.0.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.12-100.fc24.x86_64+debug
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: de_DE.UTF-8
LOCALE: de_DE.UTF-8

pandas: 0.19.2
nose: None
pip: 9.0.1
setuptools: 34.3.0
Cython: None
numpy: 1.12.0
scipy: 0.18.1
statsmodels: None
xarray: None
IPython: 5.3.0
sphinx: None
patsy: None
dateutil: 2.6.0
pytz: 2016.10
blosc: 1.5.0
bottleneck: None
tables: None
numexpr: None
matplotlib: 2.0.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.1.5
pymysql: None
psycopg2: None
jinja2: None
boto: None
pandas_datareader: None
</details>
