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 CRES ne fédèrent donc pas de manière directe les structures de base, celles-ci en sont membres par le biais des structures fédératives que se sont données les acteurs de terrain.
Postion	Tokenization
1	Les
2	CRES
3	ne
4	fédèrent
5	donc
6	pas
7	de
8	manière
9	directe
10	les
11	structures
12	de
13	base
14	,
15	celles-ci
16	en
17	sont
18	membres
19	par
20	le
21	biais
22	des
23	de
24	les
25	structures
26	fédératives
27	que
28	se
29	sont
30	données
31	les
32	acteurs
33	de
34	terrain
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	CRES	PROPN	4	nsubj
3	ne	ADV	4	advmod
4	fédèrent	VERB	0	root
5	donc	ADV	4	advmod
6	pas	ADV	4	advmod
7	de	ADP	8	case
8	manière	NOUN	4	obl:mod
9	directe	ADJ	8	amod
10	les	DET	11	det
11	structures	NOUN	4	obj
12	de	ADP	13	case
13	base	NOUN	11	nmod
14	,	PUNCT	18	punct
15	celles-ci	PRON	18	nsubj
16	en	PRON	18	nmod
17	sont	AUX	18	cop
18	membres	NOUN	4	conj
19	par	ADP	21	case
20	le	DET	21	det
21	biais	NOUN	18	obl:mod
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	structures	NOUN	21	nmod
26	fédératives	ADJ	24	amod
27	que	PRON	29	obj
28	se	PRON	29	obl:arg
29	sont	AUX	29	aux:tense
30	données	VERB	24	acl:relcl
31	les	DET	31	det
32	acteurs	NOUN	29	nsubj
33	de	ADP	33	case
34	terrain	NOUN	31	nmod
35	.	PUNCT	4	punct