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:
En unos días se pondrá a la venta en España un videojuego protagonizado por una sugerente Britney digital, a imagen y semejanza de la de carne y hueso.
Postion	Tokenization
1	En
2	unos
3	días
4	se
5	pondrá
6	a
7	la
8	venta
9	en
10	España
11	un
12	videojuego
13	protagonizado
14	por
15	una
16	sugerente
17	Britney
18	digital
19	,
20	a
21	imagen
22	y
23	semejanza
24	de
25	la
26	de
27	carne
28	y
29	hueso
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	unos	DET	3	det
3	días	NOUN	5	obl
4	se	PRON	5	expl:pass
5	pondrá	VERB	0	root
6	a	ADP	8	case
7	la	DET	8	det
8	venta	NOUN	5	obl
9	en	ADP	10	case
10	España	PROPN	5	obl
11	un	DET	12	det
12	videojuego	NOUN	5	nsubj
13	protagonizado	ADJ	12	amod
14	por	ADP	17	case
15	una	DET	17	det
16	sugerente	ADJ	17	amod
17	Britney	PROPN	13	obj
18	digital	ADJ	17	amod
19	,	PUNCT	21	punct
20	a	ADP	21	case
21	imagen	NOUN	17	nmod
22	y	CCONJ	23	cc
23	semejanza	NOUN	21	conj
24	de	ADP	25	case
25	la	DET	21	det
26	de	ADP	25	case
27	carne	NOUN	25	nmod
28	y	CCONJ	29	cc
29	hueso	NOUN	27	conj
30	.	PUNCT	5	punct