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:
We got to talking and he got me set up and I test drove with Craig and I fell head over heels for this car all I kept saying, " was I gotta have it!"
Postion	Tokenization
1	We
2	got
3	to
4	talking
5	and
6	he
7	got
8	me
9	set
10	up
11	and
12	I
13	test
14	drove
15	with
16	Craig
17	and
18	I
19	fell
20	head
21	over
22	heels
23	for
24	this
25	car
26	all
27	I
28	kept
29	saying
30	,
31	"
32	was
33	I
34	gotta
35	got
36	ta
37	have
38	it
39	!
40	"
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	got	VERB	0	root
3	to	SCONJ	4	mark
4	talking	VERB	2	advcl
5	and	CCONJ	7	cc
6	he	PRON	7	nsubj
7	got	VERB	2	conj
8	me	PRON	7	obj
9	set	VERB	7	xcomp
10	up	ADP	9	compound:prt
11	and	CCONJ	14	cc
12	I	PRON	14	nsubj
13	test	NOUN	14	obl:npmod
14	drove	VERB	2	conj
15	with	ADP	16	case
16	Craig	PROPN	14	obl
17	and	CCONJ	19	cc
18	I	PRON	19	nsubj
19	fell	VERB	2	conj
20	head	NOUN	19	obl:npmod
21	over	ADP	22	case
22	heels	NOUN	20	nmod
23	for	ADP	25	case
24	this	DET	25	det
25	car	NOUN	19	obl
26	all	DET	32	nsubj
27	I	PRON	28	nsubj
28	kept	VERB	26	acl:relcl
29	saying	VERB	28	xcomp
30	,	PUNCT	32	punct
31	"	PUNCT	32	punct
32	was	VERB	19	parataxis
33	I	PRON	34	nsubj
34	gotta	_	None	_
35	got	VERB	32	ccomp
36	ta	PART	36	mark
37	have	VERB	34	xcomp
38	it	PRON	36	obj
39	!	PUNCT	2	punct
40	"	PUNCT	2	punct