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:
Barracuda n'est pas qu'une montagne de muscles, c'est un expert en mécanique capable de construire un char d'assaut avec une vieille voiture, une bobine de scotch et quelques morceaux de ferraille.
Postion	Tokenization
1	Barracuda
2	n'
3	est
4	pas
5	qu'
6	une
7	montagne
8	de
9	muscles
10	,
11	c'
12	est
13	un
14	expert
15	en
16	mécanique
17	capable
18	de
19	construire
20	un
21	char
22	d'
23	assaut
24	avec
25	une
26	vieille
27	voiture
28	,
29	une
30	bobine
31	de
32	scotch
33	et
34	quelques
35	morceaux
36	de
37	ferraille
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Barracuda	PROPN	7	nsubj
2	n'	ADV	7	advmod
3	est	AUX	7	cop
4	pas	ADV	5	advmod
5	qu'	ADV	7	advmod
6	une	DET	7	det
7	montagne	NOUN	0	root
8	de	ADP	9	case
9	muscles	NOUN	7	nmod
10	,	PUNCT	14	punct
11	c'	PRON	14	nsubj
12	est	AUX	14	cop
13	un	DET	14	det
14	expert	NOUN	7	conj
15	en	ADP	16	case
16	mécanique	NOUN	14	nmod
17	capable	ADJ	14	amod
18	de	ADP	19	mark
19	construire	VERB	17	xcomp:obl
20	un	DET	21	det
21	char	NOUN	19	obj
22	d'	ADP	23	case
23	assaut	NOUN	21	nmod
24	avec	ADP	27	case
25	une	DET	27	det
26	vieille	ADJ	27	amod
27	voiture	NOUN	19	obl:mod
28	,	PUNCT	30	punct
29	une	DET	30	det
30	bobine	NOUN	27	conj
31	de	ADP	32	case
32	scotch	NOUN	30	nmod
33	et	CCONJ	35	cc
34	quelques	DET	35	det
35	morceaux	NOUN	27	conj
36	de	ADP	37	case
37	ferraille	NOUN	35	nmod
38	.	PUNCT	7	punct