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:
La muestra de Logroño acoge, desde hoy y hasta el día 8, 30 conciertos (entre ellos, los de Jorge Drexler, Mastretta y Berrogüeto) y 10 preestrenos de cine.
Postion	Tokenization
1	La
2	muestra
3	de
4	Logroño
5	acoge
6	,
7	desde
8	hoy
9	y
10	hasta
11	el
12	día
13	8
14	,
15	30
16	conciertos
17	(
18	entre
19	ellos
20	,
21	los
22	de
23	Jorge
24	Drexler
25	,
26	Mastretta
27	y
28	Berrogüeto
29	)
30	y
31	10
32	preestrenos
33	de
34	cine
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	muestra	NOUN	5	nsubj
3	de	ADP	4	case
4	Logroño	PROPN	2	nmod
5	acoge	VERB	0	root
6	,	PUNCT	8	punct
7	desde	ADP	8	case
8	hoy	ADV	5	advmod
9	y	CCONJ	12	cc
10	hasta	ADP	12	case
11	el	DET	12	det
12	día	NOUN	8	conj
13	8	NUM	12	compound
14	,	PUNCT	8	punct
15	30	NUM	16	nummod
16	conciertos	NOUN	5	obj
17	(	PUNCT	19	punct
18	entre	ADP	19	case
19	ellos	PRON	16	appos
20	,	PUNCT	19	punct
21	los	DET	19	det
22	de	ADP	19	case
23	Jorge	PROPN	19	nmod
24	Drexler	PROPN	23	flat
25	,	PUNCT	26	punct
26	Mastretta	PROPN	23	conj
27	y	CCONJ	28	cc
28	Berrogüeto	PROPN	23	conj
29	)	PUNCT	19	punct
30	y	CCONJ	32	cc
31	10	NUM	32	nummod
32	preestrenos	NOUN	16	conj
33	de	ADP	34	case
34	cine	NOUN	32	nmod
35	.	PUNCT	5	punct