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 me manque encore un peu de vocabulaire mais quand je pense à mon niveau de départ et au résultat avec 30h je ne regrette absolument pas.
Postion	Tokenization
1	Il
2	me
3	manque
4	encore
5	un
6	peu
7	de
8	vocabulaire
9	mais
10	quand
11	je
12	pense
13	à
14	mon
15	niveau
16	de
17	départ
18	et
19	au
20	à
21	le
22	résultat
23	avec
24	30h
25	je
26	ne
27	regrette
28	absolument
29	pas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	me	PRON	3	obl:arg
3	manque	VERB	0	root
4	encore	ADV	3	advmod
5	un	DET	3	obj
6	peu	ADV	5	fixed
7	de	ADP	8	case
8	vocabulaire	NOUN	5	nmod
9	mais	CCONJ	26	cc
10	quand	SCONJ	12	mark
11	je	PRON	12	nsubj
12	pense	VERB	26	advcl
13	à	ADP	15	case
14	mon	DET	15	det
15	niveau	NOUN	12	obl:arg
16	de	ADP	17	case
17	départ	NOUN	15	nmod
18	et	CCONJ	21	cc
19	au	_	None	_
20	à	ADP	21	case
21	le	DET	21	det
22	résultat	NOUN	15	conj
23	avec	ADP	23	case
24	30h	NUM	21	nmod
25	je	PRON	26	nsubj
26	ne	ADV	26	advmod
27	regrette	VERB	3	conj
28	absolument	ADV	28	advmod
29	pas	ADV	26	advmod
30	.	PUNCT	3	punct