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:
Cela fait 2 ans que je prends des cours de guitare avec Orchestra Musique et j'ai pu arriver à un niveau qui me permet de jouer les morceaux que j'aime grâce à l'aide de mon professeur.
Postion	Tokenization
1	Cela
2	fait
3	2
4	ans
5	que
6	je
7	prends
8	des
9	cours
10	de
11	guitare
12	avec
13	Orchestra
14	Musique
15	et
16	j'
17	ai
18	pu
19	arriver
20	à
21	un
22	niveau
23	qui
24	me
25	permet
26	de
27	jouer
28	les
29	morceaux
30	que
31	j'
32	aime
33	grâce
34	à
35	l'
36	aide
37	de
38	mon
39	professeur
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Cela	PRON	2	nsubj
2	fait	VERB	0	root
3	2	NUM	4	nummod
4	ans	NOUN	2	obl:mod
5	que	SCONJ	7	mark
6	je	PRON	7	nsubj
7	prends	VERB	2	ccomp:obj
8	des	DET	9	det
9	cours	NOUN	7	obj
10	de	ADP	11	case
11	guitare	NOUN	9	nmod
12	avec	ADP	13	case
13	Orchestra	PROPN	7	obl:mod
14	Musique	PROPN	13	flat:name
15	et	CCONJ	18	cc
16	j'	PRON	18	nsubj
17	ai	AUX	18	aux:tense
18	pu	VERB	2	conj
19	arriver	VERB	18	xcomp:obj
20	à	ADP	22	case
21	un	DET	22	det
22	niveau	NOUN	19	obl:arg
23	qui	PRON	25	nsubj
24	me	PRON	25	obl:arg
25	permet	VERB	22	acl:relcl
26	de	ADP	27	mark
27	jouer	VERB	25	xcomp:obj
28	les	DET	29	det
29	morceaux	NOUN	27	obj
30	que	PRON	32	obj
31	j'	PRON	32	nsubj
32	aime	VERB	29	acl:relcl
33	grâce	NOUN	36	case
34	à	ADP	33	fixed
35	l'	DET	36	det
36	aide	NOUN	19	obl:mod
37	de	ADP	39	case
38	mon	DET	39	det
39	professeur	NOUN	36	nmod
40	.	PUNCT	2	punct