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:
Le chef de l'Etat a également souhaité que l'acquisition de la nationalité française pour un mineur délinquant ne soit plus automatique au moment de sa majorité.
Postion	Tokenization
1	Le
2	chef
3	de
4	l'
5	Etat
6	a
7	également
8	souhaité
9	que
10	l'
11	acquisition
12	de
13	la
14	nationalité
15	française
16	pour
17	un
18	mineur
19	délinquant
20	ne
21	soit
22	plus
23	automatique
24	au
25	à
26	le
27	moment
28	de
29	sa
30	majorité
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	chef	NOUN	8	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	Etat	NOUN	2	nmod
6	a	AUX	8	aux:tense
7	également	ADV	8	advmod
8	souhaité	VERB	0	root
9	que	SCONJ	23	mark
10	l'	DET	11	det
11	acquisition	NOUN	23	nsubj
12	de	ADP	14	case
13	la	DET	14	det
14	nationalité	NOUN	11	nmod
15	française	ADJ	14	amod
16	pour	ADP	18	case
17	un	DET	18	det
18	mineur	NOUN	11	nmod
19	délinquant	ADJ	18	amod
20	ne	ADV	23	advmod
21	soit	AUX	23	cop
22	plus	ADV	23	advmod
23	automatique	ADJ	8	ccomp:obj
24	au	_	None	_
25	à	ADP	26	case
26	le	DET	26	det
27	moment	NOUN	23	obl:mod
28	de	ADP	29	case
29	sa	DET	29	det
30	majorité	NOUN	26	nmod
31	.	PUNCT	8	punct