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 30 avril, la présentatrice Brigitte Simonetta annonce dans un bulletin météorologique d'Antenne 2 que la France est protégée du « nuage » par l'anticyclone des Açores [5], [6].
Postion	Tokenization
1	Le
2	30
3	avril
4	,
5	la
6	présentatrice
7	Brigitte
8	Simonetta
9	annonce
10	dans
11	un
12	bulletin
13	météorologique
14	d'
15	Antenne
16	2
17	que
18	la
19	France
20	est
21	protégée
22	du
23	de
24	le
25	«
26	nuage
27	»
28	par
29	l'
30	anticyclone
31	des
32	de
33	les
34	Açores
35	[
36	5
37	]
38	,
39	[
40	6
41	]
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	30	NUM	9	obl:mod
3	avril	NOUN	2	nmod
4	,	PUNCT	2	punct
5	la	DET	6	det
6	présentatrice	NOUN	9	nsubj
7	Brigitte	PROPN	6	appos
8	Simonetta	PROPN	7	flat:name
9	annonce	VERB	0	root
10	dans	ADP	12	case
11	un	DET	12	det
12	bulletin	NOUN	9	obl:mod
13	météorologique	ADJ	12	amod
14	d'	ADP	15	case
15	Antenne	PROPN	12	nmod
16	2	NUM	15	nmod
17	que	SCONJ	21	mark
18	la	DET	19	det
19	France	PROPN	21	nsubj:pass
20	est	AUX	21	aux:pass
21	protégée	VERB	9	ccomp:obj
22	du	_	None	_
23	de	ADP	25	case
24	le	DET	25	det
25	«	PUNCT	25	punct
26	nuage	NOUN	21	obl:arg
27	»	PUNCT	25	punct
28	par	ADP	29	case
29	l'	DET	29	det
30	anticyclone	NOUN	21	obl:agent
31	des	_	None	_
32	de	ADP	32	case
33	les	DET	32	det
34	Açores	PROPN	29	nmod
35	[	PUNCT	34	punct
36	5	NUM	21	parataxis
37	]	PUNCT	34	punct
38	,	PUNCT	38	punct
39	[	PUNCT	38	punct
40	6	NUM	34	conj
41	]	PUNCT	38	punct
42	.	PUNCT	9	punct