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 Rice Boat fast food has a customer rating of 1 out of 5, it is in the riverside area with and it is kid friendly
Example Output: name[The Rice Boat], food[Fast food], customer rating[1 out of 5], area[riverside], familyFriendly[yes]

Example Input: The Taste of Cambridge is a family friendly coffee shop near Crowne Plaza Hotel in the riverside area with Japanese food.
Example Output: name[Taste of Cambridge], eatType[coffee shop], food[Japanese], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]

Example Input: Browns Cambridge is a low price option for dinner.
Example Output:
name[Browns Cambridge], food[Italian], priceRange[less than £20], customer rating[low]