Conflict b/w skiprows and default quotechar kwargs to pandas.read_table
#### A small, complete example of the issue

while trying to open a data file similar to 

```
a
b"
c
d
e"
a,b,c
1,2,3
4,5,6
7,8,9
```

i expect the following code 

```
python -c "import pandas; df = pandas.read_table('quoted_data.csv', skiprows=5, sep=','); print df"
```
#### Expected Output

```
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9
```
#### Observed Output

```
Empty DataFrame
Columns: [7,8,9]
Index: []
```
### Further Insight

```
python -c "import pandas; df = pandas.read_table('quoted_data.csv', skiprows=2, sep=','); print df"
```

surprisingly works. also,

```
python -c "import pandas; df = pandas.read_table('quoted_data.csv', skiprows=5, quotechar="?", sep=','); print df"
```

works

The behavior changed between `pandas` `0.18.0` and `0.18.1`. we suspect changes made in https://github.com/pandas-dev/pandas/pull/12900 to be causing this.

Note that the difference in `skiprows` values that works (2) and that doesn't (5) is the same as the number of lines in the file between quote chars.

Apologies for the noise if this has already been reported or is being addressed.
#### Output of `pd.show_versions()`

<details>
## INSTALLED VERSIONS

commit: None
python: 2.7.11.final.0
python-bits: 64
OS: Darwin
OS-release: 16.0.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: None.None

pandas: 0.19.0
nose: 1.3.7
pip: 8.1.2
setuptools: 23.1.0
Cython: 0.24
numpy: 1.10.4
scipy: None
statsmodels: None
xarray: None
IPython: 5.1.0
sphinx: 1.4.1
patsy: None
dateutil: 2.5.2
pytz: 2016.3
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: None
openpyxl: 2.4.0
xlrd: 1.0.0
xlwt: None
xlsxwriter: None
lxml: 3.6.0
bs4: 4.4.1
html5lib: 0.999
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
boto: None
pandas_datareader: None
</details>
