read_table raises EmptyDataError when called with filename and engine="c"
Hi,

I noticed that `pd.read_table` raises EmptyDataError, but only when using a filename rather than StringIO and when `engine="c"`.

Possibly related to #13652?
#### Code Sample, a copy-pastable example if possible

``` python
import pandas as pd
from io import StringIO

s = 'a\tb\tc\n1\t2\t3\n'

with open('a.tsv', 'w') as fout:
    fout.write(s)

for label in ('StringIO', 'filename'):
    for engine in ('python', 'c'):
        print('input={}, engine={}'.format(label, engine))
        if label == 'StringIO':
            data = StringIO(s)
        else:
            data = 'a.tsv'
        print(pd.read_table(data, engine=engine))
```

Output:

```
input=StringIO, engine=python
   a  b  c
0  1  2  3
input=StringIO, engine=c
   a  b  c
0  1  2  3
input=filename, engine=python
   a  b  c
0  1  2  3
input=filename, engine=c

---------------------------------------------------------------------------
EmptyDataError                            Traceback (most recent call last)
...
pandas/parser.pyx in pandas.parser.TextReader.__cinit__ (pandas/parser.c:5214)()

EmptyDataError: No columns to parse from file
```
#### Expected Output

```
input=StringIO, engine=python
   a  b  c
0  1  2  3
input=StringIO, engine=c
   a  b  c
0  1  2  3
input=filename, engine=python
   a  b  c
0  1  2  3
input=filename, engine=c
   a  b  c
0  1  2  3
```
#### output of `pd.show_versions()`

```
INSTALLED VERSIONS
------------------
commit: None
python: 3.5.2.final.0
python-bits: 64
OS: Linux
OS-release: 3.13.0-24-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.18.1
nose: 1.3.7
pip: 8.1.2
setuptools: 23.0.0
Cython: 0.24
numpy: 1.11.1
scipy: 0.17.1
statsmodels: 0.6.1
xarray: None
IPython: 5.0.0
sphinx: 1.4.1
patsy: 0.4.1
dateutil: 2.5.3
pytz: 2016.4
blosc: None
bottleneck: 1.1.0
tables: 3.2.2
numexpr: 2.6.0
matplotlib: 1.5.1
openpyxl: 2.3.2
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.2
lxml: 3.6.0
bs4: 4.4.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.13
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.40.0
pandas_datareader: None
```
