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:
Si une convention se tient pour réformer la constitution actuelle de l'État, il est probable que ce soit l'ancienne chambre des représentants qui accueille les membres de cette convention.
Postion	Tokenization
1	Si
2	une
3	convention
4	se
5	tient
6	pour
7	réformer
8	la
9	constitution
10	actuelle
11	de
12	l'
13	État
14	,
15	il
16	est
17	probable
18	que
19	ce
20	soit
21	l'
22	ancienne
23	chambre
24	des
25	de
26	les
27	représentants
28	qui
29	accueille
30	les
31	membres
32	de
33	cette
34	convention
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	une	DET	3	det
3	convention	NOUN	5	nsubj:pass
4	se	PRON	5	expl:pass
5	tient	VERB	17	advcl
6	pour	ADP	7	mark
7	réformer	VERB	5	advcl
8	la	DET	9	det
9	constitution	NOUN	7	obj
10	actuelle	ADJ	9	amod
11	de	ADP	13	case
12	l'	DET	13	det
13	État	NOUN	9	nmod
14	,	PUNCT	5	punct
15	il	PRON	17	expl:subj
16	est	AUX	17	cop
17	probable	ADJ	0	root
18	que	SCONJ	23	mark
19	ce	PRON	23	nsubj
20	soit	AUX	23	cop
21	l'	DET	23	det
22	ancienne	ADJ	23	amod
23	chambre	NOUN	17	csubj
24	des	_	None	_
25	de	ADP	26	case
26	les	DET	26	det
27	représentants	NOUN	23	nmod
28	qui	PRON	28	nsubj
29	accueille	VERB	23	advcl:cleft
30	les	DET	30	det
31	membres	NOUN	28	obj
32	de	ADP	33	case
33	cette	DET	33	det
34	convention	NOUN	30	nmod
35	.	PUNCT	17	punct