Incorrect parsing of UTF-16 TSV if file includes Unicode 'FULLWIDTH COLON' (U+FF1A)
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
print "This is what the data should look like (file with regular colon).\n"
df = pd.read_csv('testcase-utf16.txt', encoding='utf-16', delimiter='\t', engine='python')
print df
print "\n\nIncorrect dataframe  (file with Unicode full-width colon).\n"
df = pd.read_csv('testcase2-utf16.txt', encoding='utf-16', delimiter='\t', engine='python')
print df

```
Test files:
[testcase2-utf16.txt](https://github.com/pandas-dev/pandas/files/974155/testcase2-utf16.txt)
[testcase-utf16.txt](https://github.com/pandas-dev/pandas/files/974154/testcase-utf16.txt)

#### Problem description

If a UTF-16-encoded TSV file contains a full-width colon, read_csv causes the data to be parsed wrongly. I'm running Python from a Windows command prompt (Windows 10); this bug does **not** happen on a Mac, or on a Windows machine running Python under Cygwin. 

It seems to cause "some" amount of data to be skipped - I initially ran into this in the middle of a large file. It raised an exception saying that the line contained too many columns, because the row with the full-width colon had become mashed into the end of the row several lines later.

In the minimal test case above, the two files differ only in that testcase2.txt contains a full-width colon in the first row, and testcase.txt contains a regular colon. In testcase2.txt, everything from the full-width colon disappears from the dataframe:

This is what the data should look like (file with regular colon).

   Block                                               Link
0      9  Survey: 57% of Tokyo high schools demand hair-...
1     10  17 Best ideas about Hair Colors on Pinterest |...
2     11  What It's Like to Change Your Hair Color - I T...
3     12                 Hair Dye: A History - The Atlantic
4     13  A molecular basis for classic blond hair color...


Incorrect dataframe (file with Unicode full-width colon).

   Block                                               Link
0      9  Survey: 57% of Tokyo high schools demand hair-...

#### Expected Output

Dataframe should contain all data, correctly formatted, including fancy Unicode colon - the two dataframes should look the same when printed.

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

<details>
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Windows
OS-release: 8
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.19.2
nose: None
pip: 9.0.1
setuptools: 34.3.2
Cython: None
numpy: 1.12.1
scipy: None
statsmodels: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 2.0.0
openpyxl: None
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: 0.5.7
lxml: None
bs4: 4.5.1
html5lib: 0.9999999
httplib2: 0.10.3
apiclient: 1.6.2
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
boto: None
pandas_datareader: None
</details>
