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, según su discurso, fue respetuoso con el talante de la Federación en su búsqueda por encontrar una solución que permitiese a los internacionales holandeses jugar con el FC Barcelona en el Camp Nou.
Postion	Tokenization
1	Gaspart
2	,
3	según
4	su
5	discurso
6	,
7	fue
8	respetuoso
9	con
10	el
11	talante
12	de
13	la
14	Federación
15	en
16	su
17	búsqueda
18	por
19	encontrar
20	una
21	solución
22	que
23	permitiese
24	a
25	los
26	internacionales
27	holandeses
28	jugar
29	con
30	el
31	FC
32	Barcelona
33	en
34	el
35	Camp
36	Nou
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Gaspart	PROPN	8	nsubj
2	,	PUNCT	5	punct
3	según	ADP	5	case
4	su	DET	5	det
5	discurso	NOUN	8	obl
6	,	PUNCT	5	punct
7	fue	AUX	8	cop
8	respetuoso	ADJ	0	root
9	con	ADP	11	case
10	el	DET	11	det
11	talante	NOUN	8	nmod
12	de	ADP	14	case
13	la	DET	14	det
14	Federación	PROPN	11	nmod
15	en	ADP	17	case
16	su	DET	17	det
17	búsqueda	NOUN	8	nmod
18	por	ADP	19	mark
19	encontrar	VERB	17	acl
20	una	DET	21	det
21	solución	NOUN	19	obj
22	que	PRON	23	nsubj
23	permitiese	VERB	21	acl
24	a	ADP	26	case
25	los	DET	26	det
26	internacionales	NOUN	23	iobj
27	holandeses	ADJ	26	amod
28	jugar	VERB	23	xcomp
29	con	ADP	31	case
30	el	DET	31	det
31	FC	PROPN	28	obl
32	Barcelona	PROPN	31	flat
33	en	ADP	35	case
34	el	DET	35	det
35	Camp	PROPN	28	obl
36	Nou	NUM	35	nummod
37	.	PUNCT	8	punct