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:
Endemol, que en 1999 facturó casi 73.000 millones de pesetas, despertó el interés mundial y Telefónica decidió comprarla en el 2000.
Postion	Tokenization
1	Endemol
2	,
3	que
4	en
5	1999
6	facturó
7	casi
8	73.000
9	millones
10	de
11	pesetas
12	,
13	despertó
14	el
15	interés
16	mundial
17	y
18	Telefónica
19	decidió
20	comprarla
21	comprar
22	la
23	en
24	el
25	2000
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Endemol	PROPN	13	nsubj
2	,	PUNCT	6	punct
3	que	PRON	6	nsubj
4	en	ADP	5	case
5	1999	NOUN	6	obl
6	facturó	VERB	1	acl
7	casi	ADV	9	advmod
8	73.000	NUM	7	nummod
9	millones	NOUN	6	obj
10	de	ADP	11	case
11	pesetas	NOUN	9	nmod
12	,	PUNCT	6	punct
13	despertó	VERB	0	root
14	el	DET	15	det
15	interés	NOUN	13	obj
16	mundial	ADJ	15	amod
17	y	CCONJ	19	cc
18	Telefónica	PROPN	19	nsubj
19	decidió	VERB	13	conj
20	comprarla	_	None	_
21	comprar	VERB	19	xcomp
22	la	PRON	20	obj
23	en	ADP	24	case
24	el	DET	24	det
25	2000	NOUN	20	obl
26	.	PUNCT	13	punct