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:
"Gaspart lo está haciendo bien. Se han hecho unos fichajes interesantes", dijo el hombre que perdió las elecciones y reiteró su deseo de ir a su asiento "de tribuna" para ver al Barça.
Postion	Tokenization
1	"
2	Gaspart
3	lo
4	está
5	haciendo
6	bien
7	.
8	Se
9	han
10	hecho
11	unos
12	fichajes
13	interesantes
14	"
15	,
16	dijo
17	el
18	hombre
19	que
20	perdió
21	las
22	elecciones
23	y
24	reiteró
25	su
26	deseo
27	de
28	ir
29	a
30	su
31	asiento
32	"
33	de
34	tribuna
35	"
36	para
37	ver
38	al
39	Barça
40	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Gaspart	PROPN	5	nsubj
3	lo	PRON	5	obj
4	está	AUX	5	aux
5	haciendo	VERB	16	ccomp
6	bien	ADV	5	advmod
7	.	PUNCT	5	punct
8	Se	PRON	10	expl:pass
9	han	AUX	10	aux
10	hecho	VERB	5	advcl
11	unos	DET	12	det
12	fichajes	NOUN	10	nsubj
13	interesantes	ADJ	12	amod
14	"	PUNCT	5	punct
15	,	PUNCT	5	punct
16	dijo	VERB	0	root
17	el	DET	18	det
18	hombre	NOUN	16	nsubj
19	que	PRON	20	nsubj
20	perdió	VERB	18	acl
21	las	DET	22	det
22	elecciones	NOUN	20	obj
23	y	CCONJ	24	cc
24	reiteró	VERB	16	conj
25	su	DET	26	det
26	deseo	NOUN	24	obj
27	de	ADP	28	mark
28	ir	VERB	26	acl
29	a	ADP	31	case
30	su	DET	31	det
31	asiento	NOUN	28	obl
32	"	PUNCT	34	punct
33	de	ADP	34	case
34	tribuna	NOUN	31	nmod
35	"	PUNCT	34	punct
36	para	ADP	37	mark
37	ver	VERB	28	advcl
38	al	ADP	39	case
39	Barça	PROPN	37	obj
40	.	PUNCT	16	punct