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:
À noter qu'il s'agit du premier succès public pour le réalisateur Jesse Peretz, dont ses précédents films sortirent de façon confidentielles.
Postion	Tokenization
1	À
2	noter
3	qu'
4	il
5	s'
6	agit
7	du
8	de
9	le
10	premier
11	succès
12	public
13	pour
14	le
15	réalisateur
16	Jesse
17	Peretz
18	,
19	dont
20	ses
21	précédents
22	films
23	sortirent
24	de
25	façon
26	confidentielles
27	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	2	mark
2	noter	VERB	0	root
3	qu'	SCONJ	6	mark
4	il	PRON	6	expl:subj
5	s'	PRON	6	dep:comp
6	agit	VERB	2	ccomp:obj
7	du	_	None	_
8	de	ADP	10	case
9	le	DET	10	det
10	premier	ADJ	10	amod
11	succès	NOUN	6	obl:arg
12	public	ADJ	10	amod
13	pour	ADP	14	case
14	le	DET	14	det
15	réalisateur	NOUN	6	obl:mod
16	Jesse	PROPN	14	appos
17	Peretz	PROPN	15	flat:name
18	,	PUNCT	22	punct
19	dont	PRON	21	nmod
20	ses	DET	21	det
21	précédents	ADJ	21	amod
22	films	NOUN	22	nsubj
23	sortirent	VERB	14	acl:relcl
24	de	ADP	24	case
25	façon	NOUN	22	obl:mod
26	confidentielles	ADJ	24	amod
27	.	PUNCT	2	punct