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:
Ses règles strictes sur l'importation de bœuf, qui exigent la traçabilité des produits dans les pays producteurs, pourraient un jour aider à réformer les pratiques de l'élevage brésilien.
Postion	Tokenization
1	Ses
2	règles
3	strictes
4	sur
5	l'
6	importation
7	de
8	bœuf
9	,
10	qui
11	exigent
12	la
13	traçabilité
14	des
15	de
16	les
17	produits
18	dans
19	les
20	pays
21	producteurs
22	,
23	pourraient
24	un
25	jour
26	aider
27	à
28	réformer
29	les
30	pratiques
31	de
32	l'
33	élevage
34	brésilien
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	2	det
2	règles	NOUN	22	nsubj
3	strictes	ADJ	2	amod
4	sur	ADP	6	case
5	l'	DET	6	det
6	importation	NOUN	2	nmod
7	de	ADP	8	case
8	bœuf	NOUN	6	nmod
9	,	PUNCT	11	punct
10	qui	PRON	11	nsubj
11	exigent	VERB	2	acl:relcl
12	la	DET	13	det
13	traçabilité	NOUN	11	obj
14	des	_	None	_
15	de	ADP	16	case
16	les	DET	16	det
17	produits	NOUN	13	nmod
18	dans	ADP	19	case
19	les	DET	19	det
20	pays	NOUN	11	obl:mod
21	producteurs	ADJ	19	amod
22	,	PUNCT	11	punct
23	pourraient	VERB	0	root
24	un	DET	24	det
25	jour	NOUN	25	obl:mod
26	aider	VERB	22	xcomp:obj
27	à	ADP	27	mark
28	réformer	VERB	25	xcomp:obl
29	les	DET	29	det
30	pratiques	NOUN	27	obj
31	de	ADP	32	case
32	l'	DET	32	det
33	élevage	NOUN	29	nmod
34	brésilien	ADJ	32	amod
35	.	PUNCT	22	punct