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: Browns Cambridge is a high priced Indian restaurant with an average customer rating.
Example Output: name[Browns Cambridge], food[Indian], priceRange[high], customer rating[average]

Example Input: In the city centre, near the Express by Holiday Inn, is a highly rated fast food restaurant called The Rice Boat. It is not children friendly and is in the higher price bracket of more than £30.
Example Output: name[The Rice Boat], food[Fast food], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

Example Input: The Phoenix is a highly rated restaurant serving British food, it is located on the outskirts of the city centre.
Example Output:
name[The Phoenix], food[English], customer rating[5 out of 5], area[riverside]