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:
Les victimes des politiques de l'État en général et de ses politiques sociales en particulier, se préparent à sortir dans la rue pour exprimer leur colère.
Postion	Tokenization
1	Les
2	victimes
3	des
4	de
5	les
6	politiques
7	de
8	l'
9	État
10	en
11	général
12	et
13	de
14	ses
15	politiques
16	sociales
17	en
18	particulier
19	,
20	se
21	préparent
22	à
23	sortir
24	dans
25	la
26	rue
27	pour
28	exprimer
29	leur
30	colère
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	victimes	NOUN	20	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	politiques	NOUN	2	nmod
7	de	ADP	8	case
8	l'	DET	8	det
9	État	NOUN	5	nmod
10	en	ADP	5	advmod
11	général	NOUN	9	fixed
12	et	CCONJ	14	cc
13	de	ADP	14	case
14	ses	DET	14	det
15	politiques	NOUN	5	conj
16	sociales	ADJ	14	amod
17	en	ADP	14	advmod
18	particulier	NOUN	16	fixed
19	,	PUNCT	2	punct
20	se	PRON	20	obj
21	préparent	VERB	0	root
22	à	ADP	22	mark
23	sortir	VERB	20	xcomp:obl
24	dans	ADP	25	case
25	la	DET	25	det
26	rue	NOUN	22	obl:mod
27	pour	ADP	27	mark
28	exprimer	VERB	22	advcl
29	leur	DET	29	det
30	colère	NOUN	27	obj
31	.	PUNCT	20	punct