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 effet, il ne veut pas doter les régions des budgets nécessaires leur permettant de se substituer à l'État pour le versement de la contribution d'équilibre des services SNCF d'intérêt régional.
Postion	Tokenization
1	En
2	effet
3	,
4	il
5	ne
6	veut
7	pas
8	doter
9	les
10	régions
11	des
12	de
13	les
14	budgets
15	nécessaires
16	leur
17	permettant
18	de
19	se
20	substituer
21	à
22	l'
23	État
24	pour
25	le
26	versement
27	de
28	la
29	contribution
30	d'
31	équilibre
32	des
33	de
34	les
35	services
36	SNCF
37	d'
38	intérêt
39	régional
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	6	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	il	PRON	6	nsubj
5	ne	ADV	6	advmod
6	veut	VERB	0	root
7	pas	ADV	6	advmod
8	doter	VERB	6	xcomp:obj
9	les	DET	10	det
10	régions	NOUN	8	obj
11	des	_	None	_
12	de	ADP	13	case
13	les	DET	13	det
14	budgets	NOUN	8	obl:arg
15	nécessaires	ADJ	13	amod
16	leur	PRON	16	obl:arg
17	permettant	VERB	13	acl
18	de	ADP	19	mark
19	se	PRON	19	expl:pass
20	substituer	VERB	16	xcomp:obj
21	à	ADP	22	case
22	l'	DET	22	det
23	État	NOUN	19	obl:arg
24	pour	ADP	25	case
25	le	DET	25	det
26	versement	NOUN	19	obl:mod
27	de	ADP	28	case
28	la	DET	28	det
29	contribution	NOUN	25	nmod
30	d'	ADP	30	case
31	équilibre	NOUN	28	nmod
32	des	_	None	_
33	de	ADP	33	case
34	les	DET	33	det
35	services	NOUN	28	nmod
36	SNCF	PROPN	33	appos
37	d'	ADP	36	case
38	intérêt	NOUN	33	nmod
39	régional	ADJ	36	amod
40	.	PUNCT	6	punct