pd.read_html() convert <br> to space
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
pd.read_html('http://vybary2019.by/regions/49.html',header=0)[0]
```
#### Problem description
In original web page the first cell of table contains three separate words.

![image](https://user-images.githubusercontent.com/8781107/68541843-809da380-03b5-11ea-8bdd-c64162ff04b6.png)

In `pandas` table the first cell contains only two words, with first word being the join of the former two first.

![image](https://user-images.githubusercontent.com/8781107/68541823-3fa58f00-03b5-11ea-9384-c2a05266d1f7.png)

[**why** the current behaviour is a problem]
Because during pandas parsing there is a data loss that is non-trivial to fix.

The reason for this behaviour is the presence of `<br>` tag between first two words in original content. 

![image](https://user-images.githubusercontent.com/8781107/68542058-ef303080-03b8-11ea-9bd0-ad7d678ee52e.png)

`<br>` should be converted to space or at least to a new line when converting to text representation.

I found the similar reference in https://github.com/pandas-dev/pandas/issues/14608#issuecomment-274268024 but no separate GitHub issue.

#### Expected Output

![image](https://user-images.githubusercontent.com/8781107/68542025-5a2d3780-03b8-11ea-92cd-233b8027d1e2.png)

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

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.6.8.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.14.137+
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 0.25.3
numpy            : 1.17.3
pytz             : 2018.9
dateutil         : 2.6.1
pip              : 19.3.1
setuptools       : 41.4.0
Cython           : 0.29.13
pytest           : 3.6.4
hypothesis       : None
sphinx           : 1.8.5
blosc            : None
feather          : 0.4.0
xlsxwriter       : None
lxml.etree       : 4.2.6
html5lib         : 1.0.1
pymysql          : None
psycopg2         : 2.7.6.1 (dt dec pq3 ext lo64)
jinja2           : 2.10.3
IPython          : 5.5.0
pandas_datareader: 0.7.4
bs4              : 4.6.3
bottleneck       : 1.2.1
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.2.6
matplotlib       : 3.1.1
numexpr          : 2.7.0
odfpy            : None
openpyxl         : 2.5.9
pandas_gbq       : 0.11.0
pyarrow          : 0.14.1
pytables         : None
s3fs             : 0.3.5
scipy            : 1.3.1
sqlalchemy       : 1.3.10
tables           : 3.4.4
xarray           : 0.11.3
xlrd             : 1.1.0
xlwt             : 1.3.0
xlsxwriter       : None
</details>
