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:
Si j'avais pû sortir avec les filles qui me plaisaient au lycée, je ne me serais pas concentré sur ma musique, et j'aurais probablement des millions d'enfants aujourd'hui !
Postion	Tokenization
1	Si
2	j'
3	avais
4	pû
5	sortir
6	avec
7	les
8	filles
9	qui
10	me
11	plaisaient
12	au
13	à
14	le
15	lycée
16	,
17	je
18	ne
19	me
20	serais
21	pas
22	concentré
23	sur
24	ma
25	musique
26	,
27	et
28	j'
29	aurais
30	probablement
31	des
32	millions
33	d'
34	enfants
35	aujourd'hui
36	!
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	4	mark
2	j'	PRON	4	nsubj
3	avais	AUX	4	aux:tense
4	pû	VERB	21	advcl
5	sortir	VERB	4	xcomp:obj
6	avec	ADP	8	case
7	les	DET	8	det
8	filles	NOUN	5	obl:arg
9	qui	PRON	11	nsubj
10	me	PRON	11	obl:arg
11	plaisaient	VERB	8	acl:relcl
12	au	_	None	_
13	à	ADP	14	case
14	le	DET	14	det
15	lycée	NOUN	11	obl:mod
16	,	PUNCT	4	punct
17	je	PRON	21	nsubj
18	ne	ADV	21	advmod
19	me	PRON	21	dep:comp
20	serais	AUX	21	aux:tense
21	pas	ADV	21	advmod
22	concentré	VERB	0	root
23	sur	ADP	24	case
24	ma	DET	24	det
25	musique	NOUN	21	obl:mod
26	,	PUNCT	28	punct
27	et	CCONJ	28	cc
28	j'	PRON	28	nsubj
29	aurais	VERB	21	conj
30	probablement	ADV	28	advmod
31	des	DET	31	det
32	millions	NOUN	28	obj
33	d'	ADP	33	case
34	enfants	NOUN	31	nmod
35	aujourd'hui	ADV	28	advmod
36	!	PUNCT	21	punct