Incorrect Timestamp Parsing for ISO8601-like Format
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
string = '2016-06-01T02-01-00+00-00'
pd.Timestamp(string)
# Timestamp('2016-06-01 02:00:00+0000', tz='UTC')
```
#### Problem description

The minute is parsed incorrectly. I know this isn't exactly an ISO8601 formatted timestamp, but it comes from a filename which doesn't support the use of colons. I was caught a bit off-guard by the silently incorrect value, I think raising a ValueError would be preferable. But the resulting timestamp is _pretty_ close, so full parsing support would be nice.

#### Expected Output

Timestamp('2016-06-01 02:01:00+0000', tz='UTC')

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

<details>

In [9]: pd.show_versions()                                                                                                                                                                   

INSTALLED VERSIONS
------------------
commit: None
python: 3.7.0.final.0
python-bits: 64
OS: Darwin
OS-release: 16.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_CA.UTF-8
LOCALE: en_CA.UTF-8

pandas: 0.23.4
pytest: 4.0.1
pip: 18.1
setuptools: 40.2.0
Cython: 0.28.5
numpy: 1.14.5
scipy: 1.1.0
pyarrow: None
xarray: 0.10.9
IPython: 7.1.1
sphinx: 1.8.1
patsy: 0.5.0
dateutil: 2.7.5
pytz: 2018.5
blosc: None
bottleneck: None
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.0
openpyxl: None
xlrd: 1.1.0
xlwt: None
xlsxwriter: 1.0.7
lxml: None
bs4: 4.6.0
html5lib: 0.9999999
sqlalchemy: 1.2.8
pymysql: 0.8.1
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

</details>
