BUG: Passing datetime strings of the form "1-01-01 00:00:00"
- [x] I have checked that this issue has not already been reported.

- [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.

---

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

```python
>>> import pandas as pd
>>> pd.Timestamp("1-01-01 00:00:00")
Timestamp('2001-01-01 00:00:00')
```

#### Problem description

Passing "1-01-01 00:00:00" to "2001-01-01 00:00:00" is clearly wrong, this should raise an out of bounds datetime error.

#### Expected Output

```python
>>> import pandas as pd
>>> pd.Timestamp("1-01-01 00:00:00")
OutOfBoundsDatetime
```

However, the problem here appears to be deeper than pandas, specifically 

```python
>>> from dateutil import parser
>>> parser.parse("1-01-01 00:00:00")
datetime.datetime(2001, 1, 1, 0, 0)
```

If it's helpful, I'm happy to raise an issue in https://github.com/dateutil/dateutil instead. It's not super clear to me where the error really is (maybe dateutil have a very good reason for parsing "1-01-01 00:00:00" as "2001-01-01 00:00:00").

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

<details>

>>> pd.show_versions()

INSTALLED VERSIONS
------------------
commit           : cd88ee2dddbb25f15742cf8c2d6141da5d6fa342
python           : 3.8.5.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 18.7.0
Version          : Darwin Kernel Version 18.7.0: Mon Aug 31 20:53:32 PDT 2020; root:xnu-4903.278.44~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_AU.UTF-8
LOCALE           : en_AU.UTF-8

pandas           : 1.2.0.dev0+746.gcd88ee2dd
numpy            : 1.19.2
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.2.3
setuptools       : 49.1.0.post20200704
Cython           : 0.29.21
pytest           : 6.1.1
hypothesis       : 5.37.1
sphinx           : 3.2.1
blosc            : None
feather          : None
xlsxwriter       : 1.3.6
lxml.etree       : 4.5.2
html5lib         : 1.1
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.18.1
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : 1.3.2
fsspec           : 0.8.3
fastparquet      : 0.4.0
gcsfs            : 0.7.1
matplotlib       : 3.2.2
numexpr          : 2.7.1
odfpy            : None
openpyxl         : 3.0.5
pandas_gbq       : None
pyarrow          : 0.17.1
pytables         : None
pyxlsb           : None
s3fs             : 0.4.2
scipy            : 1.5.1
sqlalchemy       : 1.3.19
tables           : 3.6.1
tabulate         : 0.8.7
xarray           : 0.15.1
xlrd             : 1.2.0
xlwt             : 1.3.0
numba            : 0.48.0

</details>
