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:
Alberto de Pinto, presidente de Aspaym, ha anunciado que negociará con el Gobierno sobre esta cuestión una vez termine el ensayo clínico sobre la eficacia de la píldora que se desarrolla en el Hospital Nacional de Parapléjicos de Toledo.
Postion	Tokenization
1	Alberto
2	de
3	Pinto
4	,
5	presidente
6	de
7	Aspaym
8	,
9	ha
10	anunciado
11	que
12	negociará
13	con
14	el
15	Gobierno
16	sobre
17	esta
18	cuestión
19	una
20	vez
21	termine
22	el
23	ensayo
24	clínico
25	sobre
26	la
27	eficacia
28	de
29	la
30	píldora
31	que
32	se
33	desarrolla
34	en
35	el
36	Hospital
37	Nacional
38	de
39	Parapléjicos
40	de
41	Toledo
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Alberto	PROPN	10	nsubj
2	de	ADP	3	case
3	Pinto	PROPN	1	flat
4	,	PUNCT	5	punct
5	presidente	NOUN	1	appos
6	de	ADP	7	case
7	Aspaym	PROPN	5	nmod
8	,	PUNCT	5	punct
9	ha	AUX	10	aux
10	anunciado	VERB	0	root
11	que	SCONJ	12	mark
12	negociará	VERB	10	ccomp
13	con	ADP	15	case
14	el	DET	15	det
15	Gobierno	PROPN	12	obl
16	sobre	ADP	18	case
17	esta	DET	18	det
18	cuestión	NOUN	12	obl
19	una	DET	20	det
20	vez	NOUN	21	obl
21	termine	VERB	12	advcl
22	el	DET	23	det
23	ensayo	NOUN	21	obj
24	clínico	ADJ	23	amod
25	sobre	ADP	27	case
26	la	DET	27	det
27	eficacia	NOUN	23	nmod
28	de	ADP	30	case
29	la	DET	30	det
30	píldora	NOUN	27	nmod
31	que	PRON	33	nsubj
32	se	PRON	33	expl:pass
33	desarrolla	VERB	30	acl
34	en	ADP	36	case
35	el	DET	36	det
36	Hospital	PROPN	33	obl
37	Nacional	PROPN	36	flat
38	de	ADP	39	case
39	Parapléjicos	PROPN	36	flat
40	de	ADP	41	case
41	Toledo	PROPN	36	flat
42	.	PUNCT	10	punct