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: The Olive Grove is a pub selling good sushi at low prices , but not familiar. It is north of the City Centre.
Example Output: name[The Olive Grove], eatType[pub], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[no]

Example Input: The Cricketers is a coffee shop that offers Fast food to its customers. It is located near The Portland Arms, has a rating of 1 out 5 stars, and is child-friendly.
Example Output: name[The Cricketers], eatType[coffee shop], food[Fast food], customer rating[1 out of 5], familyFriendly[yes], near[The Portland Arms]

Example Input: The Rice Boat is a kid-friendly fast food restaurant located in the city centre by the Express by Holiday Inn. It has a moderate price range and a customer rating of 1 out of 5.
Example Output:
name[The Rice Boat], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]