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:
CdF va a ceder progresivamente el 70 por ciento que todavía tiene en SNET, empresa que produce el dos por ciento de la electricidad en Francia y que está valorada en unos 915 millones de euros.
Postion	Tokenization
1	CdF
2	va
3	a
4	ceder
5	progresivamente
6	el
7	70
8	por
9	ciento
10	que
11	todavía
12	tiene
13	en
14	SNET
15	,
16	empresa
17	que
18	produce
19	el
20	dos
21	por
22	ciento
23	de
24	la
25	electricidad
26	en
27	Francia
28	y
29	que
30	está
31	valorada
32	en
33	unos
34	915
35	millones
36	de
37	euros
38	.
Position	Tokenization	UPOS	Head	Deprel
1	CdF	PROPN	4	nsubj
2	va	AUX	4	aux
3	a	ADP	4	mark
4	ceder	VERB	0	root
5	progresivamente	ADV	4	advmod
6	el	DET	7	det
7	70	NUM	4	obj
8	por	ADP	9	case
9	ciento	NUM	7	compound
10	que	PRON	12	obj
11	todavía	ADV	12	advmod
12	tiene	VERB	7	advcl
13	en	ADP	14	case
14	SNET	PROPN	12	obl
15	,	PUNCT	16	punct
16	empresa	NOUN	14	appos
17	que	PRON	18	nsubj
18	produce	VERB	16	acl
19	el	DET	20	det
20	dos	NUM	18	obj
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	de	ADP	25	case
24	la	DET	25	det
25	electricidad	NOUN	20	nmod
26	en	ADP	27	case
27	Francia	PROPN	18	obl
28	y	CCONJ	31	cc
29	que	PRON	31	nsubj
30	está	AUX	31	cop
31	valorada	ADJ	18	conj
32	en	ADP	35	case
33	unos	PRON	34	nmod
34	915	NUM	35	nummod
35	millones	NOUN	31	obj
36	de	ADP	37	case
37	euros	NOUN	35	nmod
38	.	PUNCT	4	punct