As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
The service was just about as good as I'd get in NYC (that means it was poor) and the food was almost mediocre.
Postion	Tokenization
1	The
2	service
3	was
4	just
5	about
6	as
7	good
8	as
9	I'd
10	I
11	'd
12	get
13	in
14	NYC
15	(
16	that
17	means
18	it
19	was
20	poor
21	)
22	and
23	the
24	food
25	was
26	almost
27	mediocre
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	service	NOUN	7	nsubj
3	was	AUX	7	cop
4	just	ADV	5	advmod
5	about	ADV	7	advmod
6	as	ADV	7	advmod
7	good	ADJ	0	root
8	as	SCONJ	11	mark
9	I'd	_	None	_
10	I	PRON	11	nsubj
11	'd	AUX	11	aux
12	get	VERB	7	advcl
13	in	ADP	13	case
14	NYC	PROPN	11	obl
15	(	PUNCT	16	punct
16	that	PRON	16	nsubj
17	means	VERB	7	parataxis
18	it	PRON	19	nsubj
19	was	AUX	19	cop
20	poor	ADJ	16	ccomp
21	)	PUNCT	16	punct
22	and	CCONJ	26	cc
23	the	DET	23	det
24	food	NOUN	26	nsubj
25	was	AUX	26	cop
26	almost	ADV	26	advmod
27	mediocre	ADJ	7	conj
28	.	PUNCT	7	punct