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:
Michael Schumacher est troisième et les pilotes Ferrari, Jean Alesi et Gerhard Berger, qui ont dominé la majeure partie de la séance d'essais, juste derrière.
Postion	Tokenization
1	Michael
2	Schumacher
3	est
4	troisième
5	et
6	les
7	pilotes
8	Ferrari
9	,
10	Jean
11	Alesi
12	et
13	Gerhard
14	Berger
15	,
16	qui
17	ont
18	dominé
19	la
20	majeure
21	partie
22	de
23	la
24	séance
25	d'
26	essais
27	,
28	juste
29	derrière
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Michael	PROPN	4	nsubj
2	Schumacher	PROPN	1	flat:name
3	est	AUX	4	cop
4	troisième	ADJ	0	root
5	et	CCONJ	7	cc
6	les	DET	7	det
7	pilotes	NOUN	4	conj
8	Ferrari	PROPN	7	appos
9	,	PUNCT	10	punct
10	Jean	PROPN	7	appos
11	Alesi	PROPN	10	flat:name
12	et	CCONJ	13	cc
13	Gerhard	PROPN	10	conj
14	Berger	PROPN	13	flat:name
15	,	PUNCT	18	punct
16	qui	PRON	18	nsubj
17	ont	AUX	18	aux:tense
18	dominé	VERB	7	acl:relcl
19	la	DET	21	det
20	majeure	ADJ	21	amod
21	partie	NOUN	18	obj
22	de	ADP	24	case
23	la	DET	24	det
24	séance	NOUN	21	nmod
25	d'	ADP	26	case
26	essais	NOUN	24	nmod
27	,	PUNCT	29	punct
28	juste	ADV	29	advmod
29	derrière	ADV	7	advmod
30	.	PUNCT	4	punct