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:
El salón, un escaparate de lo que se llevará el próximo verano, contará con las bazas seguras de Javier Larrainzar, Sita Murt, Angela Arregui, Victorio y Lucchino y Pedro del Hierro.
Postion	Tokenization
1	El
2	salón
3	,
4	un
5	escaparate
6	de
7	lo
8	que
9	se
10	llevará
11	el
12	próximo
13	verano
14	,
15	contará
16	con
17	las
18	bazas
19	seguras
20	de
21	Javier
22	Larrainzar
23	,
24	Sita
25	Murt
26	,
27	Angela
28	Arregui
29	,
30	Victorio
31	y
32	Lucchino
33	y
34	Pedro
35	del
36	Hierro
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	salón	NOUN	15	nsubj
3	,	PUNCT	5	punct
4	un	DET	5	det
5	escaparate	NOUN	2	appos
6	de	ADP	10	mark
7	lo	PRON	10	det
8	que	PRON	10	obj
9	se	PRON	10	expl:pass
10	llevará	VERB	5	acl
11	el	DET	13	det
12	próximo	ADJ	13	amod
13	verano	NOUN	10	obl
14	,	PUNCT	5	punct
15	contará	VERB	0	root
16	con	ADP	18	case
17	las	DET	18	det
18	bazas	NOUN	15	obj
19	seguras	ADJ	18	amod
20	de	ADP	21	case
21	Javier	PROPN	18	nmod
22	Larrainzar	PROPN	21	flat
23	,	PUNCT	24	punct
24	Sita	PROPN	21	conj
25	Murt	PROPN	24	flat
26	,	PUNCT	27	punct
27	Angela	PROPN	21	conj
28	Arregui	PROPN	27	flat
29	,	PUNCT	30	punct
30	Victorio	PROPN	21	conj
31	y	CCONJ	32	cc
32	Lucchino	PROPN	30	conj
33	y	CCONJ	34	cc
34	Pedro	PROPN	21	conj
35	del	ADP	36	case
36	Hierro	PROPN	34	flat
37	.	PUNCT	15	punct