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:
Estos datos los dio a conocer ayer el presidente de Ercros, Antoni Zabalza, en la presentación a los medios de comunicación de los resultados de 1998.
Postion	Tokenization
1	Estos
2	datos
3	los
4	dio
5	a
6	conocer
7	ayer
8	el
9	presidente
10	de
11	Ercros
12	,
13	Antoni
14	Zabalza
15	,
16	en
17	la
18	presentación
19	a
20	los
21	medios
22	de
23	comunicación
24	de
25	los
26	resultados
27	de
28	1998
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Estos	DET	2	det
2	datos	NOUN	4	iobj
3	los	PRON	4	obj
4	dio	VERB	0	root
5	a	ADP	6	case
6	conocer	NOUN	4	compound
7	ayer	ADV	4	advmod
8	el	DET	9	det
9	presidente	NOUN	4	nsubj
10	de	ADP	11	case
11	Ercros	PROPN	9	nmod
12	,	PUNCT	13	punct
13	Antoni	PROPN	9	appos
14	Zabalza	PROPN	13	flat
15	,	PUNCT	13	punct
16	en	ADP	18	case
17	la	DET	18	det
18	presentación	NOUN	4	obl
19	a	ADP	21	case
20	los	DET	21	det
21	medios	NOUN	18	nmod
22	de	ADP	23	case
23	comunicación	NOUN	21	nmod
24	de	ADP	26	case
25	los	DET	26	det
26	resultados	NOUN	18	nmod
27	de	ADP	28	case
28	1998	NOUN	26	nmod
29	.	PUNCT	4	punct