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:
S'ensuit ensuite 3 victoires d'affilé, jusqu'au 3 février, où pour la première fois de l'histoire, le FBC Juventus réalise trois matchs nuls de suite, 0 à 0.
Postion	Tokenization
1	S'
2	ensuit
3	ensuite
4	3
5	victoires
6	d'
7	affilé
8	,
9	jusqu'
10	au
11	à
12	le
13	3
14	février
15	,
16	où
17	pour
18	la
19	première
20	fois
21	de
22	l'
23	histoire
24	,
25	le
26	FBC
27	Juventus
28	réalise
29	trois
30	matchs
31	nuls
32	de
33	suite
34	,
35	0
36	à
37	0
38	.
Position	Tokenization	UPOS	Head	Deprel
1	S'	PRON	2	dep:comp
2	ensuit	VERB	0	root
3	ensuite	ADV	2	advmod
4	3	NUM	5	nummod
5	victoires	NOUN	2	nsubj
6	d'	ADP	5	advmod
7	affilé	VERB	6	fixed
8	,	PUNCT	12	punct
9	jusqu'	ADP	12	case
10	au	_	None	_
11	à	ADP	12	case
12	le	DET	12	det
13	3	NUM	2	obl:mod
14	février	NOUN	12	nmod
15	,	PUNCT	27	punct
16	où	ADV	27	advmod
17	pour	ADP	19	case
18	la	DET	19	det
19	première	ADJ	19	amod
20	fois	NOUN	27	obl:mod
21	de	ADP	22	case
22	l'	DET	22	det
23	histoire	NOUN	19	nmod
24	,	PUNCT	19	punct
25	le	DET	25	det
26	FBC	PROPN	27	nsubj
27	Juventus	PROPN	25	flat:name
28	réalise	VERB	12	acl:relcl
29	trois	NUM	29	nummod
30	matchs	NOUN	27	obj
31	nuls	ADJ	29	amod
32	de	ADP	32	case
33	suite	NOUN	27	obl:mod
34	,	PUNCT	34	punct
35	0	NUM	29	nmod
36	à	ADP	36	case
37	0	NUM	34	nmod
38	.	PUNCT	2	punct