read_csv parse error on tab-delimited
I'm getting a `CParserError` on a large (25M rows) tab-delimited file. I've narrowed the problem to the lines in the example attached:
[test.txt](https://github.com/pandas-dev/pandas/files/665986/test.txt)
When reading this file I get weird behaviour when displaying some of the lines.
```
➜  cat -vet test.txt
125403116848943104^IThey stay away from you for a reason stupid SMH$
125402641516859394^I"Women Would Sell Their Soul Jus To Buy Some Attention" #Fact$
125402461803515904^I@FFHIPHOP wats gd boii$
125402355914129408^I#TripleKrown$
125402323110461441^IWhat's ya purpose ??$
125402099134631936^IWhen one person says something about you you can fight it but when multiple people say the same thing then you lose out$
125402077856927744^IBlammer$
125386739329150976^IBitch you ignorant haaaaaaaaa$
```

```
In [109]: a = pandas.read_csv(root_dir + 'test.txt', sep='\t', header=None)

In [110]: a
Out[110]:
                    0                                                  1
0  125403116848943104    They stay away from you for a reason stupid SMH
1  125402641516859394  Women Would Sell Their Soul Jus To Buy Some At...
2  125402461803515904                             @FFHIPHOP wats gd boii
3  125402355914129408                                       #TripleKrown
4  125402323110461441                               What's ya purpose ??
5  125402099134631936  When one person says something about you you c...
6  125402077856927744                                            Blammer
7  125386739329150976                      Bitch you ignorant haaaaaaaaa

In [111]: a.iloc[1, 1]
Out[111]: 'Women Would Sell Their Soul Jus To Buy Some Attention #Fact'

In [112]: a.iloc[2, 1]
Out[112]: '@FFHIPHOP wats gd boii'

In [113]: a.iloc[3, 1]
Out[113]: '#TripleKrown'
```

#### Output of ``pd.show_versions()``
```
In [114]: pandas.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 2.7.13.final.0
python-bits: 64
OS: Darwin
OS-release: 16.3.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: None.None

pandas: 0.19.1
nose: 1.3.7
pip: 9.0.1
setuptools: 28.6.1
Cython: 0.25.2
numpy: 1.11.2
scipy: 0.18.1
statsmodels: 0.6.1
xarray: 0.8.2
IPython: 5.1.0
sphinx: 1.5.1
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: 1.1.0
tables: 3.3.0
numexpr: 2.6.1
matplotlib: 1.5.3
openpyxl: 2.4.0
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.4
lxml: 3.7.0
bs4: 4.5.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.1.4
pymysql: None
psycopg2: 2.6.2 (dt dec pq3 ext lo64)
jinja2: 2.8
boto: 2.43.0
pandas_datareader: None
```