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:
El director general de Telefónica Media, Eduardo Alonso, dijo hoy que la alianza con la productora Endemol ha beneficiado más a la empresa holandesa que a Telefónica.
Postion	Tokenization
1	El
2	director
3	general
4	de
5	Telefónica
6	Media
7	,
8	Eduardo
9	Alonso
10	,
11	dijo
12	hoy
13	que
14	la
15	alianza
16	con
17	la
18	productora
19	Endemol
20	ha
21	beneficiado
22	más
23	a
24	la
25	empresa
26	holandesa
27	que
28	a
29	Telefónica
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	director	NOUN	11	nsubj
3	general	ADJ	2	amod
4	de	ADP	5	case
5	Telefónica	PROPN	2	nmod
6	Media	PROPN	5	flat
7	,	PUNCT	8	punct
8	Eduardo	PROPN	2	appos
9	Alonso	PROPN	8	flat
10	,	PUNCT	8	punct
11	dijo	VERB	0	root
12	hoy	ADV	11	advmod
13	que	SCONJ	21	mark
14	la	DET	15	det
15	alianza	NOUN	21	nsubj
16	con	ADP	18	case
17	la	DET	18	det
18	productora	NOUN	15	nmod
19	Endemol	PROPN	18	appos
20	ha	AUX	21	aux
21	beneficiado	VERB	11	ccomp
22	más	ADV	21	obj
23	a	ADP	22	case
24	la	DET	25	det
25	empresa	NOUN	22	nmod
26	holandesa	ADJ	25	amod
27	que	SCONJ	29	mark
28	a	ADP	29	case
29	Telefónica	PROPN	22	obl
30	.	PUNCT	11	punct