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: 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 Golden Curry offers English food at a high price. It is near The Bakers. It should be noted that it is not kids friendly.

Output: name[The Golden Curry], food[English], priceRange[high], familyFriendly[no], near[The Bakers]


Input: Consider Input: Fitzbillies, located in Express by Holiday Inn, isn't recommended due to the food being priced over £30, and the atmosphere not being child-friendly.


Output: name[Fitzbillies], priceRange[more than £30], customer rating[low], familyFriendly[no], near[Express by Holiday Inn]