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:
Cette légende est aussi à l'origine du nom du quartier de Matabiau, c'est à cet endroit que les bouviers auraient tué le fameux taureau.
Postion	Tokenization
1	Cette
2	légende
3	est
4	aussi
5	à
6	l'
7	origine
8	du
9	de
10	le
11	nom
12	du
13	de
14	le
15	quartier
16	de
17	Matabiau
18	,
19	c'
20	est
21	à
22	cet
23	endroit
24	que
25	les
26	bouviers
27	auraient
28	tué
29	le
30	fameux
31	taureau
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	légende	NOUN	7	nsubj
3	est	AUX	7	cop
4	aussi	ADV	7	advmod
5	à	ADP	7	case
6	l'	DET	7	det
7	origine	NOUN	0	root
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	nom	NOUN	7	nmod
12	du	_	None	_
13	de	ADP	13	case
14	le	DET	13	det
15	quartier	NOUN	10	nmod
16	de	ADP	15	case
17	Matabiau	PROPN	13	nmod
18	,	PUNCT	21	punct
19	c'	PRON	21	expl:subj
20	est	AUX	21	cop
21	à	ADP	21	case
22	cet	DET	21	det
23	endroit	NOUN	7	parataxis
24	que	SCONJ	26	mark
25	les	DET	24	det
26	bouviers	NOUN	26	nsubj
27	auraient	AUX	26	aux:tense
28	tué	VERB	21	advcl:cleft
29	le	DET	29	det
30	fameux	ADJ	29	amod
31	taureau	NOUN	26	obj
32	.	PUNCT	7	punct