BUG: tz info lost by set_index and reindex
Closes #6631. Closes #5878. Regarding #3950, original problem can be fixed by this, but `groupby` problem isn't.

Also, this includes the fix for `MultiIndex.get_level_values` doesn't retain `tz` and `freq`, as the method is used in `set_index`.

```
# current master
>>> import pandas as pd
>>> didx = pd.DatetimeIndex(start='2013/01/01', freq='H', periods=4, tz='Asia/Tokyo')
>>> pidx = pd.PeriodIndex(start='2013/01/01', freq='H', periods=4)

>>> midx = pd.MultiIndex.from_arrays([didx, pidx])
>>> midx.get_level_values(0)
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-12-31 15:00:00, ..., 2012-12-31 18:00:00]
Length: 4, Freq: None, Timezone: None

>>> midx.get_level_values(1)
Int64Index([376944, 376945, 376946, 376947], dtype='int64')
```

```
# after fix
>>> midx.get_level_values(0)
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-01-01 00:00:00+09:00, ..., 2013-01-01 03:00:00+09:00]
Length: 4, Freq: H, Timezone: Asia/Tokyo

>>> midx.get_level_values(1)
PeriodIndex([u'2013-01-01 00:00', u'2013-01-01 01:00', u'2013-01-01 02:00', u'2013-01-01 03:00'], freq='H')
```

OK, added `_simple_new` to `Index`. Also, I noticed #5878 can be solved by the same fix.
 gr8! thanks
