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:
You said you liked her and she accepted it as a truth and perhaps as a compliment, but it does not mean she fancies you or wants to pair off with you.
Postion	Tokenization
1	You
2	said
3	you
4	liked
5	her
6	and
7	she
8	accepted
9	it
10	as
11	a
12	truth
13	and
14	perhaps
15	as
16	a
17	compliment
18	,
19	but
20	it
21	does
22	not
23	mean
24	she
25	fancies
26	you
27	or
28	wants
29	to
30	pair
31	off
32	with
33	you
34	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	2	nsubj
2	said	VERB	0	root
3	you	PRON	4	nsubj
4	liked	VERB	2	ccomp
5	her	PRON	4	obj
6	and	CCONJ	8	cc
7	she	PRON	8	nsubj
8	accepted	VERB	4	conj
9	it	PRON	8	obj
10	as	ADP	12	case
11	a	DET	12	det
12	truth	NOUN	8	obl
13	and	CCONJ	17	cc
14	perhaps	ADV	17	advmod
15	as	ADP	17	case
16	a	DET	17	det
17	compliment	NOUN	12	conj
18	,	PUNCT	23	punct
19	but	CCONJ	23	cc
20	it	PRON	23	nsubj
21	does	AUX	23	aux
22	not	PART	23	advmod
23	mean	VERB	2	conj
24	she	PRON	25	nsubj
25	fancies	VERB	23	ccomp
26	you	PRON	25	obj
27	or	CCONJ	28	cc
28	wants	VERB	25	conj
29	to	PART	30	mark
30	pair	VERB	28	xcomp
31	off	ADP	30	compound:prt
32	with	ADP	33	case
33	you	PRON	30	obl
34	.	PUNCT	2	punct