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:
Charité et privatisation sont des critères qui doivent guider l'action de l'État dans les services sociaux et dans le traitement du système des retraites et du chômage.
Postion	Tokenization
1	Charité
2	et
3	privatisation
4	sont
5	des
6	critères
7	qui
8	doivent
9	guider
10	l'
11	action
12	de
13	l'
14	État
15	dans
16	les
17	services
18	sociaux
19	et
20	dans
21	le
22	traitement
23	du
24	de
25	le
26	système
27	des
28	de
29	les
30	retraites
31	et
32	du
33	de
34	le
35	chômage
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Charité	NOUN	6	nsubj
2	et	CCONJ	3	cc
3	privatisation	NOUN	1	conj
4	sont	AUX	6	cop
5	des	DET	6	det
6	critères	NOUN	0	root
7	qui	PRON	8	nsubj
8	doivent	VERB	6	acl:relcl
9	guider	VERB	8	xcomp:obj
10	l'	DET	11	det
11	action	NOUN	9	obj
12	de	ADP	14	case
13	l'	DET	14	det
14	État	NOUN	11	nmod
15	dans	ADP	17	case
16	les	DET	17	det
17	services	NOUN	9	obl:mod
18	sociaux	ADJ	17	amod
19	et	CCONJ	22	cc
20	dans	ADP	22	case
21	le	DET	22	det
22	traitement	NOUN	17	conj
23	du	_	None	_
24	de	ADP	25	case
25	le	DET	25	det
26	système	NOUN	22	nmod
27	des	_	None	_
28	de	ADP	28	case
29	les	DET	28	det
30	retraites	NOUN	25	nmod
31	et	CCONJ	32	cc
32	du	_	None	_
33	de	ADP	32	case
34	le	DET	32	det
35	chômage	NOUN	25	conj
36	.	PUNCT	6	punct