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:
En janvier, Google s'était déclaré excédé par des attaques informatiques visant son code source et la messagerie Gmail de militants chinois des droits de l'homme.
Postion	Tokenization
1	En
2	janvier
3	,
4	Google
5	s'
6	était
7	déclaré
8	excédé
9	par
10	des
11	attaques
12	informatiques
13	visant
14	son
15	code
16	source
17	et
18	la
19	messagerie
20	Gmail
21	de
22	militants
23	chinois
24	des
25	de
26	les
27	droits
28	de
29	l'
30	homme
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	janvier	NOUN	7	obl:mod
3	,	PUNCT	2	punct
4	Google	PROPN	7	nsubj
5	s'	PRON	7	obj
6	était	AUX	7	aux:tense
7	déclaré	VERB	0	root
8	excédé	VERB	7	xcomp:pred
9	par	ADP	11	case
10	des	DET	11	det
11	attaques	NOUN	8	obl:agent
12	informatiques	ADJ	11	amod
13	visant	VERB	11	acl
14	son	DET	15	det
15	code	NOUN	13	obj
16	source	NOUN	15	nmod
17	et	CCONJ	19	cc
18	la	DET	19	det
19	messagerie	NOUN	15	conj
20	Gmail	PROPN	19	appos
21	de	ADP	22	case
22	militants	NOUN	11	nmod
23	chinois	ADJ	22	amod
24	des	_	None	_
25	de	ADP	26	case
26	les	DET	26	det
27	droits	NOUN	22	nmod
28	de	ADP	29	case
29	l'	DET	29	det
30	homme	NOUN	26	nmod
31	.	PUNCT	7	punct