Json loader fails if user-specified features don't match the json data fields order
If you do
```python
dataset = load_dataset("json", data_files=data_files, features=features)
```
Then depending on the order of the features in the json data field it fails:
```python
[...]
~/Desktop/hf/datasets/src/datasets/packaged_modules/json/json.py in _generate_tables(self, files)
     94             if self.config.schema:
     95                 # Cast allows str <-> int/float, while parse_option explicit_schema does NOT
---> 96                 pa_table = pa_table.cast(self.config.schema)
     97             yield i, pa_table
[...]
ValueError: Target schema's field names are not matching the table's field names: ['tokens', 'ner_tags'], ['ner_tags', 'tokens']
```

This is because one must first re-order the columns of the table to match the `self.config.schema` before calling cast.

One way to fix the `cast` would be to replace it with:
```python
# reorder the arrays if necessary + cast to schema
# we can't simply use .cast here because we may need to change the order of the columns
pa_table = pa.Table.from_arrays([pa_table[name] for name in schema.names], schema=schema)
```