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:
Il a complèté sa formation lors de diverses masterclasses, notamment à l'Académie baroque d'Ambronay et au Centre de la Voix de Royaumont.
Postion	Tokenization
1	Il
2	a
3	complèté
4	sa
5	formation
6	lors
7	de
8	diverses
9	masterclasses
10	,
11	notamment
12	à
13	l'
14	Académie
15	baroque
16	d'
17	Ambronay
18	et
19	au
20	à
21	le
22	Centre
23	de
24	la
25	Voix
26	de
27	Royaumont
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	complèté	VERB	0	root
4	sa	DET	5	det
5	formation	NOUN	3	obj
6	lors	ADV	3	advmod
7	de	ADP	9	case
8	diverses	DET	9	det
9	masterclasses	NOUN	6	obl:arg
10	,	PUNCT	14	punct
11	notamment	ADV	14	advmod
12	à	ADP	14	case
13	l'	DET	14	det
14	Académie	NOUN	3	obl:mod
15	baroque	ADJ	14	amod
16	d'	ADP	17	case
17	Ambronay	PROPN	14	nmod
18	et	CCONJ	21	cc
19	au	_	None	_
20	à	ADP	21	case
21	le	DET	21	det
22	Centre	NOUN	14	conj
23	de	ADP	24	case
24	la	DET	24	det
25	Voix	NOUN	21	nmod
26	de	ADP	26	case
27	Royaumont	PROPN	21	nmod
28	.	PUNCT	3	punct