ENH: Support for list of intervals / IntervalArray in to_parquet
#### Is your feature request related to a problem?

I would like to be able to save the following dataframes:
- list of intervals:
```python
import pandas as pd
df = pd.DataFrame({"x": [[pd.Interval(0, 1), pd.Interval(3, 4)]]})
df.to_parquet("test.parquet")
```
- IntervalArray
```python
import pandas as pd
df = pd.DataFrame({"x": [pd.arrays.IntervalArray.from_tuples([(0, 1), (2, 3)]), ]})
df.to_parquet("test.parquet")
```
However, currently both cases fail with:
```
pyarrow.lib.ArrowInvalid: ('Could not convert (0, 1] with type pandas._libs.interval.Interval: did not recognize Python value type when inferring an Arrow data type', 'Conversion failed for column x with type object')
pyarrow.lib.ArrowInvalid: ('Could not convert <IntervalArray>\n[(0, 1], (2, 3]]\nLength: 2, closed: right, dtype: interval[int64] with type IntervalArray: did not recognize Python value type when inferring an Arrow data type', 'Conversion failed for column x with type object')
```


#### Describe the solution you'd like

[this should provide a description of the feature request, e.g. "`DataFrame.foo` should get a new parameter `bar` that [...]", try to write a docstring for the desired feature]

#### API breaking implications

None

#### pd.show_versions()

<details>

```
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.4.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.6.14-arch1-1
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : de_DE.UTF-8
LOCALE           : de_DE.UTF-8
pandas           : 1.0.4
numpy            : 1.17.2
pytz             : 2019.2
dateutil         : 2.8.0
pip              : 19.2.2
setuptools       : 41.0.1
Cython           : 0.29.13
pytest           : 5.0.1
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.10.1
IPython          : 7.15.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.1.1
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.17.1
pytables         : None
pytest           : 5.0.1
pyxlsb           : None
s3fs             : None
scipy            : 1.3.1
sqlalchemy       : None
tables           : None
tabulate         : 0.8.7
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None
```

</details>