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:
España ocupa el segundo lugar en volumen de crecimiento, con un 0,5%, aunque Eurostat no dispone todavía de los datos correspondientes a todos los países de la UE.
Postion	Tokenization
1	España
2	ocupa
3	el
4	segundo
5	lugar
6	en
7	volumen
8	de
9	crecimiento
10	,
11	con
12	un
13	0,5%
14	,
15	aunque
16	Eurostat
17	no
18	dispone
19	todavía
20	de
21	los
22	datos
23	correspondientes
24	a
25	todos
26	los
27	países
28	de
29	la
30	UE
31	.
Position	Tokenization	UPOS	Head	Deprel
1	España	PROPN	2	nsubj
2	ocupa	VERB	0	root
3	el	DET	5	det
4	segundo	ADJ	5	amod
5	lugar	NOUN	2	obj
6	en	ADP	7	case
7	volumen	NOUN	5	nmod
8	de	ADP	9	case
9	crecimiento	NOUN	7	nmod
10	,	PUNCT	13	punct
11	con	ADP	13	case
12	un	DET	13	det
13	0,5%	SYM	2	advmod
14	,	PUNCT	18	punct
15	aunque	SCONJ	18	mark
16	Eurostat	PROPN	18	nsubj
17	no	ADV	18	advmod
18	dispone	VERB	2	advcl
19	todavía	ADV	18	advmod
20	de	ADP	22	case
21	los	DET	22	det
22	datos	NOUN	18	obj
23	correspondientes	ADJ	22	amod
24	a	ADP	27	case
25	todos	DET	26	det
26	los	DET	27	det
27	países	NOUN	23	nmod
28	de	ADP	30	case
29	la	DET	30	det
30	UE	PROPN	27	nmod
31	.	PUNCT	2	punct