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:
En la prueba intervendrán cuatro barcos españoles, y sobresale la participación del ex presidente de la Federación de Vela de Las Palmas, Enrique Boissier, que regateará en el "Canarias".
Postion	Tokenization
1	En
2	la
3	prueba
4	intervendrán
5	cuatro
6	barcos
7	españoles
8	,
9	y
10	sobresale
11	la
12	participación
13	del
14	ex
15	presidente
16	de
17	la
18	Federación
19	de
20	Vela
21	de
22	Las
23	Palmas
24	,
25	Enrique
26	Boissier
27	,
28	que
29	regateará
30	en
31	el
32	"
33	Canarias
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	prueba	NOUN	4	obj
4	intervendrán	VERB	0	root
5	cuatro	NUM	6	nummod
6	barcos	NOUN	4	nsubj
7	españoles	ADJ	6	amod
8	,	PUNCT	10	punct
9	y	CCONJ	10	cc
10	sobresale	VERB	4	conj
11	la	DET	12	det
12	participación	NOUN	10	nsubj
13	del	ADP	15	case
14	ex	ADJ	15	amod
15	presidente	NOUN	12	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	Federación	PROPN	15	nmod
19	de	ADP	20	case
20	Vela	PROPN	18	flat
21	de	ADP	23	case
22	Las	DET	23	det
23	Palmas	PROPN	18	flat
24	,	PUNCT	25	punct
25	Enrique	PROPN	15	appos
26	Boissier	PROPN	25	flat
27	,	PUNCT	25	punct
28	que	PRON	29	nsubj
29	regateará	VERB	15	acl
30	en	ADP	33	case
31	el	DET	33	det
32	"	PUNCT	33	punct
33	Canarias	PROPN	29	obl
34	"	PUNCT	33	punct
35	.	PUNCT	4	punct