BUG: parse_dates=False while passing date_parser tries to use date parser
### 

- [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.

- [X] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
with open('tmp.csv', 'w+') as handle:
    handle.write('a;b;c\n0;0,00;0')

def parser(p):
    raise ValueError("Tried to use parser")

pd.read_csv('tmp.csv', date_parser=parser, parse_dates=False)
```


### Issue Description

Date parser gets run even when `parse_dates` is set to False. This happens because Line 510 in readers.py ([link](https://github.com/pandas-dev/pandas/blob/master/pandas/io/parsers/readers.py#L510) only checks whether `parse_dates`  is a bool rather than the value.
I've not been able to reproduce without the comma and semicolons in there. 

### Expected Behavior

Getting the same result as `pd.read_csv('tmp.csv')` which is a malformed DataFrame.

### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit           : 2cb96529396d93b46abab7bbc73a208e708c642e
python           : 3.8.10.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.18363
machine          : AMD64
processor        : Intel64 Family 6 Model 85 Stepping 4, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : English_United Kingdom.1252
pandas           : 1.2.4
numpy            : 1.20.2
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.1.1
setuptools       : 52.0.0.post20210125
Cython           : None
pytest           : 6.2.4
hypothesis       : 6.14.1
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : None
pyxlsb           : 1.0.8
s3fs             : None
scipy            : None
sqlalchemy       : 1.4.22
tables           : None
tabulate         : None
xarray           : None
xlrd             : 2.0.1
xlwt             : None
numba            : None

</details>
