Loading CSV files (using `read_csv`) with blank lines between header and data rows quits Python interpreter
#### Code Sample, a copy-pastable example if possible

```
import pandas as pd # tested with pandas 25.0 using Python 3.6.8
pd.read_csv('my_csv.csv', delimiter='|', header=4, nrows=1, skip_blank_lines=False) # this makes interpreter exit without any error message

pd.read_csv('my_csv.csv', delimiter='|', header=4, nrows=2, skip_blank_lines=False) # this is fine producing output below
   int_id_1_1_1  date_2019-01-01_2019-12-31_2  ascii_str_8_8_3  double_-1.0_1.0_4  integer_-1000_1000_5
0           NaN                           NaN              NaN                NaN                   NaN
1           NaN                           NaN              NaN                NaN                   NaN
```



#### Problem description

I have been trying to load a test CSV file ("my_csv.txt", attached), which is structured in a way that there's an information text on the second row; row header line on the fifth row; and the data starts at the ninth row. As you can see in the Python code above, `read_csv` fails when `nrows=1` , but doesn't when `nrows>1`.

I think there's some uncaught bug in Pandas' `read_csv` when CSV file has blank lines between header and the start of the data rows. Thank you for your hard work maintaining and extending this very useful library.


[my_csv.txt](https://github.com/pandas-dev/pandas/files/3526892/my_csv.txt)


