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 was looking for a car but did not really know what i wanted and they were very helpful and took the time to first figure out what my needs were and showing me various options to meet those needs.
Postion	Tokenization
1	i
2	was
3	looking
4	for
5	a
6	car
7	but
8	did
9	not
10	really
11	know
12	what
13	i
14	wanted
15	and
16	they
17	were
18	very
19	helpful
20	and
21	took
22	the
23	time
24	to
25	first
26	figure
27	out
28	what
29	my
30	needs
31	were
32	and
33	showing
34	me
35	various
36	options
37	to
38	meet
39	those
40	needs
41	.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	3	nsubj
2	was	AUX	3	aux
3	looking	VERB	0	root
4	for	ADP	6	case
5	a	DET	6	det
6	car	NOUN	3	obl
7	but	CCONJ	11	cc
8	did	AUX	11	aux
9	not	PART	11	advmod
10	really	ADV	11	advmod
11	know	VERB	3	conj
12	what	PRON	14	obj
13	i	PRON	14	nsubj
14	wanted	VERB	11	ccomp
15	and	CCONJ	19	cc
16	they	PRON	19	nsubj
17	were	AUX	19	cop
18	very	ADV	19	advmod
19	helpful	ADJ	3	conj
20	and	CCONJ	21	cc
21	took	VERB	19	conj
22	the	DET	23	det
23	time	NOUN	21	obj
24	to	PART	26	mark
25	first	ADV	26	advmod
26	figure	VERB	21	advcl
27	out	ADP	26	compound:prt
28	what	PRON	26	ccomp
29	my	PRON	30	nmod:poss
30	needs	NOUN	28	nsubj
31	were	AUX	28	cop
32	and	CCONJ	33	cc
33	showing	VERB	26	conj
34	me	PRON	33	iobj
35	various	ADJ	36	amod
36	options	NOUN	33	obj
37	to	PART	38	mark
38	meet	VERB	36	acl
39	those	DET	40	det
40	needs	NOUN	38	obj
41	.	PUNCT	3	punct