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: Eat in Browns Cambridge. French food for less than £20 but  has a low  customer rating
Example Output: name[Browns Cambridge], food[French], priceRange[less than £20], customer rating[low]

Example Input: By the river, Blue Spice is located. It is an Italian restaurant with a medium price range.
Example Output: name[Blue Spice], food[Italian], priceRange[high], area[riverside]

Example Input: The Olive Grove Pub, is a bad that doesn't over charge for sushi.
Example Output:
name[The Olive Grove], eatType[pub], food[Japanese], priceRange[moderate], area[riverside], familyFriendly[no]