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:
I have never seen this car before until this lady at wal mart had it and she told me she got it here and that everyone was so nice to her.
Postion	Tokenization
1	I
2	have
3	never
4	seen
5	this
6	car
7	before
8	until
9	this
10	lady
11	at
12	wal
13	mart
14	had
15	it
16	and
17	she
18	told
19	me
20	she
21	got
22	it
23	here
24	and
25	that
26	everyone
27	was
28	so
29	nice
30	to
31	her
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	have	AUX	4	aux
3	never	ADV	4	advmod
4	seen	VERB	0	root
5	this	DET	6	det
6	car	NOUN	4	obj
7	before	ADV	4	advmod
8	until	SCONJ	14	mark
9	this	DET	10	det
10	lady	NOUN	14	nsubj
11	at	ADP	13	case
12	wal	PROPN	13	compound
13	mart	PROPN	10	nmod
14	had	VERB	4	advcl
15	it	PRON	14	obj
16	and	CCONJ	18	cc
17	she	PRON	18	nsubj
18	told	VERB	14	conj
19	me	PRON	18	obj
20	she	PRON	21	nsubj
21	got	VERB	18	ccomp
22	it	PRON	21	obj
23	here	ADV	21	advmod
24	and	CCONJ	29	cc
25	that	SCONJ	29	mark
26	everyone	PRON	29	nsubj
27	was	AUX	29	cop
28	so	ADV	29	advmod
29	nice	ADJ	21	conj
30	to	ADP	31	case
31	her	PRON	29	obl
32	.	PUNCT	4	punct