C error: Buffer overflow caught on CSV with chunksize
#### Code Sample

This will create the error, but it is slow. I recommend [downloading the file directly](https://github.com/pandas-dev/pandas/files/2548189/debug.txt). 

```python
import pandas
filename = 'https://github.com/pandas-dev/pandas/files/2548189/debug.txt'
for chunk in pandas.read_csv(filename, chunksize=1000, names=range(2504)):
    pass
```

#### Problem description

I get the following exception only while using the C engine. This is similar to https://github.com/pandas-dev/pandas/issues/11166.

```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "D:\programs\anaconda3\lib\site-packages\pandas\io\parsers.py", line 1007, in __next__
    return self.get_chunk()
  File "D:\programs\anaconda3\lib\site-packages\pandas\io\parsers.py", line 1070, in get_chunk
    return self.read(nrows=size)
  File "D:\programs\anaconda3\lib\site-packages\pandas\io\parsers.py", line 1036, in read
    ret = self._engine.read(nrows)
  File "D:\programs\anaconda3\lib\site-packages\pandas\io\parsers.py", line 1848, in read
    data = self._reader.read(nrows)
  File "pandas\_libs\parsers.pyx", line 876, in pandas._libs.parsers.TextReader.read
  File "pandas\_libs\parsers.pyx", line 903, in pandas._libs.parsers.TextReader._read_low_memory
  File "pandas\_libs\parsers.pyx", line 945, in pandas._libs.parsers.TextReader._read_rows
  File "pandas\_libs\parsers.pyx", line 932, in pandas._libs.parsers.TextReader._tokenize_rows
  File "pandas\_libs\parsers.pyx", line 2112, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Buffer overflow caught - possible malformed input file.
```

#### Expected Output

None. It should just loop through the file.

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

Both machines exhibit the exception.

<details>
<summary>RedHat</summary>

```
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.10.0-862.14.4.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: None
pip: 18.1
setuptools: 39.1.0
Cython: 0.29
numpy: 1.15.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 3.0.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
```
</details>

<details>
<summary>Windows 7</summary>

```
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.23.0
pytest: 3.5.1
pip: 18.1
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
```
</details>
