what is the future of nanosecond in parquet?
pandas 1.0.0

sample code as below:

```python
import pandas as pd

df = pd.DataFrame(data=range(123456000, 123456789), columns=["c1"])
df["c2"] = pd.Timestamp("2020-01-31") + pd.to_timedelta(df["c1"], "ns")
df.to_parquet('nanosecond-test.parquet',
              # use_deprecated_int96_timestamps=True
              )
```
without `use_deprecated_int96_timestamps=True`, an exception will raise:
```
...
  File "C:\dev\.venv\lib\site-packages\pyarrow\parquet.py", line 474, in write_table
    self.writer.write_table(table, row_group_size=row_group_size)
  File "pyarrow\_parquet.pyx", line 1375, in pyarrow._parquet.ParquetWriter.write_table
  File "pyarrow\error.pxi", line 78, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Casting from timestamp[ns] to timestamp[ms] would lose data: 1580428800123456000
```

my question is: will nanoseconds not be supported by parquet format in the future? or there will be some other way to convert nanoseconds between pandas and parquet?