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:
Al recibir la respuesta de la empresa Konami, la UCE ha pedido la retirada del videojuego al comisario Europeo de Política de los Consumidores y Salud, David Byrne.
Postion	Tokenization
1	Al
2	recibir
3	la
4	respuesta
5	de
6	la
7	empresa
8	Konami
9	,
10	la
11	UCE
12	ha
13	pedido
14	la
15	retirada
16	del
17	videojuego
18	al
19	comisario
20	Europeo
21	de
22	Política
23	de
24	los
25	Consumidores
26	y
27	Salud
28	,
29	David
30	Byrne
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	recibir	VERB	13	advcl
3	la	DET	4	det
4	respuesta	NOUN	2	obj
5	de	ADP	7	case
6	la	DET	7	det
7	empresa	NOUN	4	nmod
8	Konami	PROPN	7	appos
9	,	PUNCT	2	punct
10	la	DET	11	det
11	UCE	PROPN	13	nsubj
12	ha	AUX	13	aux
13	pedido	VERB	0	root
14	la	DET	15	det
15	retirada	NOUN	13	obj
16	del	ADP	17	case
17	videojuego	NOUN	15	nmod
18	al	ADP	19	case
19	comisario	NOUN	13	obj
20	Europeo	ADJ	19	amod
21	de	ADP	22	case
22	Política	PROPN	19	nmod
23	de	ADP	25	case
24	los	DET	25	det
25	Consumidores	PROPN	22	flat
26	y	CCONJ	27	cc
27	Salud	PROPN	25	conj
28	,	PUNCT	29	punct
29	David	PROPN	19	appos
30	Byrne	PROPN	29	flat
31	.	PUNCT	13	punct