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:
Los títulos de Repsol YPF cedieron un 0,35 por ciento, a la espera de una posible OPA sobre Iberdrola que mejore la oferta hecha sobre la eléctrica por Endesa.
Postion	Tokenization
1	Los
2	títulos
3	de
4	Repsol
5	YPF
6	cedieron
7	un
8	0,35
9	por
10	ciento
11	,
12	a
13	la
14	espera
15	de
16	una
17	posible
18	OPA
19	sobre
20	Iberdrola
21	que
22	mejore
23	la
24	oferta
25	hecha
26	sobre
27	la
28	eléctrica
29	por
30	Endesa
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	títulos	NOUN	6	nsubj
3	de	ADP	4	case
4	Repsol	PROPN	2	nmod
5	YPF	PROPN	4	flat
6	cedieron	VERB	0	root
7	un	DET	8	det
8	0,35	NUM	6	obj
9	por	ADP	10	case
10	ciento	NUM	8	compound
11	,	PUNCT	18	punct
12	a	ADP	18	case
13	la	DET	12	fixed
14	espera	NOUN	12	fixed
15	de	ADP	12	fixed
16	una	DET	18	det
17	posible	ADJ	18	amod
18	OPA	PROPN	6	obl
19	sobre	ADP	20	case
20	Iberdrola	PROPN	18	nmod
21	que	PRON	22	nsubj
22	mejore	VERB	18	acl
23	la	DET	24	det
24	oferta	NOUN	22	obj
25	hecha	ADJ	24	amod
26	sobre	ADP	28	case
27	la	DET	28	det
28	eléctrica	NOUN	25	obl
29	por	ADP	30	case
30	Endesa	PROPN	25	obj
31	.	PUNCT	6	punct