BUG: DateOffset with nanoseconds does not apply to Timestamp
### 

- [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
from pandas.tseries.offsets import DateOffset
from pandas import Timedelta, Timestamp

# With Timedelta this works as expected:
Timestamp(0) + Timedelta(nanoseconds=1, microseconds=1)
# >>> Timestamp('1970-01-01 00:00:00.000001001')

Timestamp(0) + DateOffset(nanoseconds=1, microseconds=1)
# >>> Timestamp('1970-01-01 00:00:00.000001')
(Timestamp(0) + DateOffset(nanoseconds=1, microseconds=1)).nanosecond
# >>> 0
```


### Issue Description

The nanoseconds component DateOffset's does not appear to affect Timestamps when adding them. 

Possibly related issue. https://github.com/pandas-dev/pandas/issues/36589

### Expected Behavior

I expect this to be the same behavior as pd.Timedelta as illustrated above.

### Installed Versions

<details>

INSTALLED VERSIONS     
------------------     
commit           : 73c68257545b5f8530b7044f56647bd2db92e2ba                                     
python           : 3.9.7.final.0
python-bits      : 64  
OS               : Linux
OS-release       : 5.10.46-4rodete4-amd64
Version          : #1 SMP Debian 5.10.46-4rodete4 (2021-09-06)                                  
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.3
numpy            : 1.21.1
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 20.3.4
setuptools       : 57.4.0
Cython           : 0.29.24
pytest           : 6.2.5
hypothesis       : 6.23.1
sphinx           : 4.1.2
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 3.0.1
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None
</details>
