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:
Cette réforme vise à donner aux concurrents d'EDF un accès à environ 30% de son énergie nucléaire à un tarif réglementé.
Postion	Tokenization
1	Cette
2	réforme
3	vise
4	à
5	donner
6	aux
7	à
8	les
9	concurrents
10	d'
11	EDF
12	un
13	accès
14	à
15	environ
16	30
17	%
18	de
19	son
20	énergie
21	nucléaire
22	à
23	un
24	tarif
25	réglementé
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	réforme	NOUN	3	nsubj
3	vise	VERB	0	root
4	à	ADP	5	mark
5	donner	VERB	3	ccomp:obl
6	aux	_	None	_
7	à	ADP	8	case
8	les	DET	8	det
9	concurrents	NOUN	5	obl:arg
10	d'	ADP	10	case
11	EDF	PROPN	8	nmod
12	un	DET	12	det
13	accès	NOUN	5	obj
14	à	ADP	16	case
15	environ	ADV	15	advmod
16	30	NUM	16	nummod
17	%	SYM	12	nmod
18	de	ADP	19	case
19	son	DET	19	det
20	énergie	NOUN	16	nmod
21	nucléaire	ADJ	19	amod
22	à	ADP	23	case
23	un	DET	23	det
24	tarif	NOUN	12	nmod
25	réglementé	VERB	23	acl
26	.	PUNCT	3	punct