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:
Este volumen (el último disponible) se acerca a los 14.300 millones de dólares que invirtieron las empresas de EEUU ese año en la zona y posicionan a España como una fuerza económica muy poderosa en la región.
Postion	Tokenization
1	Este
2	volumen
3	(
4	el
5	último
6	disponible
7	)
8	se
9	acerca
10	a
11	los
12	14.300
13	millones
14	de
15	dólares
16	que
17	invirtieron
18	las
19	empresas
20	de
21	EEUU
22	ese
23	año
24	en
25	la
26	zona
27	y
28	posicionan
29	a
30	España
31	como
32	una
33	fuerza
34	económica
35	muy
36	poderosa
37	en
38	la
39	región
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	2	det
2	volumen	NOUN	9	nsubj
3	(	PUNCT	5	punct
4	el	DET	5	det
5	último	ADJ	2	appos
6	disponible	ADJ	5	amod
7	)	PUNCT	5	punct
8	se	PRON	9	expl:pv
9	acerca	VERB	0	root
10	a	ADP	13	case
11	los	DET	12	det
12	14.300	NUM	13	nummod
13	millones	NOUN	9	obl
14	de	ADP	15	case
15	dólares	NOUN	13	nmod
16	que	PRON	17	obj
17	invirtieron	VERB	13	acl
18	las	DET	19	det
19	empresas	NOUN	17	nsubj
20	de	ADP	21	case
21	EEUU	PROPN	19	nmod
22	ese	DET	23	det
23	año	NOUN	17	obl
24	en	ADP	26	case
25	la	DET	26	det
26	zona	NOUN	17	obl
27	y	CCONJ	28	cc
28	posicionan	VERB	17	conj
29	a	ADP	30	case
30	España	PROPN	28	obj
31	como	SCONJ	33	mark
32	una	DET	33	det
33	fuerza	NOUN	28	obj
34	económica	ADJ	33	amod
35	muy	ADV	36	advmod
36	poderosa	ADJ	33	amod
37	en	ADP	39	case
38	la	DET	39	det
39	región	NOUN	36	nmod
40	.	PUNCT	9	punct