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:
Suivant la logique de Crows et Worst, le film, bien que gravitant autour de Genji, permet de faire la connaissance d'une kyrielle de personnages.
Postion	Tokenization
1	Suivant
2	la
3	logique
4	de
5	Crows
6	et
7	Worst
8	,
9	le
10	film
11	,
12	bien
13	que
14	gravitant
15	autour
16	de
17	Genji
18	,
19	permet
20	de
21	faire
22	la
23	connaissance
24	d'
25	une
26	kyrielle
27	de
28	personnages
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Suivant	VERB	19	advcl
2	la	DET	3	det
3	logique	NOUN	1	obj
4	de	ADP	5	case
5	Crows	PROPN	3	nmod
6	et	CCONJ	7	cc
7	Worst	PROPN	5	conj
8	,	PUNCT	1	punct
9	le	DET	10	det
10	film	NOUN	19	nsubj
11	,	PUNCT	10	punct
12	bien	ADV	14	mark
13	que	SCONJ	12	fixed
14	gravitant	VERB	19	advcl
15	autour	ADV	14	obl:arg
16	de	ADP	17	case
17	Genji	PROPN	15	obl:arg
18	,	PUNCT	14	punct
19	permet	VERB	0	root
20	de	ADP	21	mark
21	faire	VERB	19	xcomp:obj
22	la	DET	23	det
23	connaissance	NOUN	21	obj
24	d'	ADP	26	case
25	une	DET	26	det
26	kyrielle	NOUN	23	nmod
27	de	ADP	28	case
28	personnages	NOUN	26	nmod
29	.	PUNCT	19	punct