REGR: Timestamp subtraction raises TypeError, Non informative
#### Code Sample

```python
import pandas as pd
print(pd.Timestamp('2101-01-01 00:00:00') - pd.Timestamp('1688-01-01 00:00:00'))
```

Outputs:
```
TypeError: unsupported operand type(s) for -: 'Timestamp' and 'Timestamp'
```

#### Problem description

The difference between the timestamps is too large for the Timedelta object. This can be traced back to these lines:

https://github.com/pandas-dev/pandas/blob/2dadd0f48949182dda412eb4032b5234c43c83c1/pandas/_libs/tslibs/c_timestamp.pyx#L303

For the example we can see that
```python
print(pd.Timedelta(pd.Timestamp('2101-01-01 00:00:00').value - pd.Timestamp('1688-01-01 00:00:00').value))
```
results in
```OverflowError: int too big to convert```

#### Expected Output

Ideally, the expected output is:
```
150845 days 00:00:00
```

Note the expected output matches that of pandas 0.25.3.

Alternatively, the error message should be at least somewhat informative, for example by propagating the OverflowError (removing the try/except block from L302-305) or raising a new TypeError (similar to L296). 

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.6.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
machine          : AMD64
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : None.None

pandas           : 1.0.1
numpy            : 1.18.0
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 19.3.1
setuptools       : 42.0.2.post20191201
Cython           : None
pytest           : 5.3.2
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.1
IPython          : 7.11.1
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : 0.3.2
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.1.2
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.15.1
pytables         : None
pytest           : 5.3.2
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
numba            : 0.46.0

</details>
