In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: Near The Portland Arms, In the city centre of city,  is a 3of5 stars coffee shop price moderate called Cotto, serves Fast food
Example Output: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre], near[The Portland Arms]

Example Input: Blue Spice is a restaurant that cooks Japanese food it is located by the riverside and the price range is moderate
Example Output: name[Blue Spice], food[Japanese], priceRange[moderate], area[riverside]

Example Input: Cocum for coffee shop offers Fast food for cheap price for kids Friendly.
Example Output:
name[Cocum], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], familyFriendly[no]