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.

Input: Consider Input: there is a coffee shop near from Burger King at city centre named The Eagle made Japanese food

Output: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]


Input: Consider Input: An Indian coffee shop is called Cocum, with a moderate price range but has low ratings from it's customers.

Output: name[Cocum], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no]


Input: Consider Input: The Waterman is not family-friendly, offering French food at a price range less than £20; it is located near the Riverside area and has a low customer rating.


Output: name[The Waterman], food[French], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no]