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:
Alonso explicó que "Endemol aporta en principio el talento" mientras que Telefónica Media busca soluciones tecnológicas "que nos permitan sacar más partido, en definitiva, a esos productos clásicos de Endemol".
Postion	Tokenization
1	Alonso
2	explicó
3	que
4	"
5	Endemol
6	aporta
7	en
8	principio
9	el
10	talento
11	"
12	mientras
13	que
14	Telefónica
15	Media
16	busca
17	soluciones
18	tecnológicas
19	"
20	que
21	nos
22	permitan
23	sacar
24	más
25	partido
26	,
27	en
28	definitiva
29	,
30	a
31	esos
32	productos
33	clásicos
34	de
35	Endemol
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Alonso	PROPN	2	nsubj
2	explicó	VERB	0	root
3	que	SCONJ	6	mark
4	"	PUNCT	6	punct
5	Endemol	PROPN	6	nsubj
6	aporta	VERB	2	ccomp
7	en	ADP	6	advmod
8	principio	NOUN	7	fixed
9	el	DET	10	det
10	talento	NOUN	6	obj
11	"	PUNCT	16	punct
12	mientras	CCONJ	16	cc
13	que	SCONJ	12	fixed
14	Telefónica	PROPN	16	nsubj
15	Media	PROPN	14	flat
16	busca	VERB	6	conj
17	soluciones	NOUN	16	obj
18	tecnológicas	ADJ	17	amod
19	"	PUNCT	22	punct
20	que	PRON	22	nsubj
21	nos	PRON	22	iobj
22	permitan	VERB	17	acl
23	sacar	VERB	22	xcomp
24	más	ADV	25	advmod
25	partido	NOUN	23	obj
26	,	PUNCT	27	punct
27	en	ADP	23	advmod
28	definitiva	NOUN	27	fixed
29	,	PUNCT	27	punct
30	a	ADP	32	case
31	esos	DET	32	det
32	productos	NOUN	23	obj
33	clásicos	ADJ	32	amod
34	de	ADP	35	case
35	Endemol	PROPN	32	nmod
36	"	PUNCT	22	punct
37	.	PUNCT	2	punct