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:
Le but marqué en seconde mi-temps par Gianluca Zambrotta, qui donne l'avantage à la Juve, est anecdotique quant à la qualification.
Postion	Tokenization
1	Le
2	but
3	marqué
4	en
5	seconde
6	mi-temps
7	par
8	Gianluca
9	Zambrotta
10	,
11	qui
12	donne
13	l'
14	avantage
15	à
16	la
17	Juve
18	,
19	est
20	anecdotique
21	quant
22	à
23	la
24	qualification
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	but	NOUN	20	nsubj
3	marqué	VERB	2	acl
4	en	ADP	6	case
5	seconde	ADJ	6	amod
6	mi-temps	NOUN	3	obl:mod
7	par	ADP	8	case
8	Gianluca	PROPN	3	obl:agent
9	Zambrotta	PROPN	8	flat:name
10	,	PUNCT	12	punct
11	qui	PRON	12	nsubj
12	donne	VERB	2	acl:relcl
13	l'	DET	14	det
14	avantage	NOUN	12	obj
15	à	ADP	17	case
16	la	DET	17	det
17	Juve	PROPN	12	obl:arg
18	,	PUNCT	12	punct
19	est	AUX	20	cop
20	anecdotique	ADJ	0	root
21	quant	ADV	24	case
22	à	ADP	21	fixed
23	la	DET	24	det
24	qualification	NOUN	20	obl:mod
25	.	PUNCT	20	punct