BUG: DataFrame to_dict method raise Out of bounds nanosecond timestamp
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- [x] I have confirmed this bug exists on the latest version of pandas.

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

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
# Your code here
import pandas as pd
from datetime import datetime

series = pd.Series([datetime(year=4172, month=12, day=31)])
series.to_dict()

# raise pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: 
# Out of bounds nanosecond timestamp: 4172-12-31 00:00:00
d = {'d1': [datetime(year=4172, month=12, day=31)]}
df = pd.DataFrame(data=d)
df.to_dict(orient='records')

```

#### Problem description

The maximum default value of date in oracle database is 4172-12-31 00:00:00, so there is a lot of such data, we read the data by pandas + sqlalchemy and then to_dict() returns the result to the front-end display. But here an exception occurs.

I think the to_dict operation does not need to check the date range, because the date type itself can exist is the language level allows, to_dict after getting the python object, python are allowed, we do not need to add restrictions here.

https://github.com/pandas-dev/pandas/blob/37b5800afb335fe1d09dde9153ca32c48c39f73e/pandas/core/frame.py#L1632

#37648 and #37571 may have something to do with it

#### Expected Output

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

<details>

[paste the output of ``pd.show_versions()`` here leaving a blank line after the details tag]
INSTALLED VERSIONS
------------------
commit           : 37b5800afb335fe1d09dde9153ca32c48c39f73e
python           : 3.8.6.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 20.2.0
Version          : Darwin Kernel Version 20.2.0: Wed Dec  2 20:39:59 PST 2020; root:xnu-7195.60.75~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : en_US.UTF-8
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.0.dev0+529.g37b5800af
numpy            : 1.19.5
pytz             : 2020.5
dateutil         : 2.8.1
pip              : 21.0
setuptools       : 49.2.1
Cython           : 0.29.21
pytest           : 6.2.1
hypothesis       : 6.0.3
sphinx           : 3.4.3
blosc            : 1.10.2
feather          : None
xlsxwriter       : 1.3.7
lxml.etree       : 4.6.2
html5lib         : 1.1
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.19.0
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : 1.3.2
fsspec           : 0.8.5
fastparquet      : 0.5.0
gcsfs            : 0.7.1
matplotlib       : 3.3.3
numexpr          : 2.7.2
odfpy            : None
openpyxl         : 3.0.6
pandas_gbq       : None
pyarrow          : 2.0.0
pyxlsb           : None
s3fs             : 0.5.2
scipy            : 1.6.0
sqlalchemy       : 1.3.22
tables           : 3.6.1
tabulate         : 0.8.7
xarray           : 0.16.2
xlrd             : 2.0.1
xlwt             : 1.3.0
numba            : 0.52.0
</details>
