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:
Entre los planes de futuro de Ercros, Zabalza explicó que se realizará un plan de inversiones de casi 18.000 millones en los próximos tres años, destinado a reorientar la diversificación del grupo.
Postion	Tokenization
1	Entre
2	los
3	planes
4	de
5	futuro
6	de
7	Ercros
8	,
9	Zabalza
10	explicó
11	que
12	se
13	realizará
14	un
15	plan
16	de
17	inversiones
18	de
19	casi
20	18.000
21	millones
22	en
23	los
24	próximos
25	tres
26	años
27	,
28	destinado
29	a
30	reorientar
31	la
32	diversificación
33	del
34	grupo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	los	DET	3	det
3	planes	NOUN	10	obl
4	de	ADP	5	case
5	futuro	NOUN	3	nmod
6	de	ADP	7	case
7	Ercros	PROPN	3	nmod
8	,	PUNCT	3	punct
9	Zabalza	PROPN	10	nsubj
10	explicó	VERB	0	root
11	que	SCONJ	13	mark
12	se	PRON	13	expl:pass
13	realizará	VERB	10	ccomp
14	un	DET	15	det
15	plan	NOUN	13	nsubj
16	de	ADP	17	case
17	inversiones	NOUN	15	nmod
18	de	ADP	21	case
19	casi	ADV	21	advmod
20	18.000	NUM	19	nummod
21	millones	NOUN	15	nmod
22	en	ADP	26	case
23	los	DET	24	det
24	próximos	NOUN	26	nmod
25	tres	NUM	24	nummod
26	años	NOUN	13	obl
27	,	PUNCT	28	punct
28	destinado	ADJ	13	advmod
29	a	ADP	30	mark
30	reorientar	VERB	28	xcomp
31	la	DET	32	det
32	diversificación	NOUN	30	obj
33	del	ADP	34	case
34	grupo	NOUN	32	nmod
35	.	PUNCT	10	punct