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:
Antonino Joya, portavoz de la Organización de Consumidores y Usuarios (OCU), mostró su queja por el tipo de redondeo que se ha aplicado en algunos servicios y productos: "Ha habido subidas importantes en panadería, juegos de azar, cines, buses, metros, revistas y periódicos".
Postion	Tokenization
1	Antonino
2	Joya
3	,
4	portavoz
5	de
6	la
7	Organización
8	de
9	Consumidores
10	y
11	Usuarios
12	(
13	OCU
14	)
15	,
16	mostró
17	su
18	queja
19	por
20	el
21	tipo
22	de
23	redondeo
24	que
25	se
26	ha
27	aplicado
28	en
29	algunos
30	servicios
31	y
32	productos
33	:
34	"
35	Ha
36	habido
37	subidas
38	importantes
39	en
40	panadería
41	,
42	juegos
43	de
44	azar
45	,
46	cines
47	,
48	buses
49	,
50	metros
51	,
52	revistas
53	y
54	periódicos
55	"
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Antonino	PROPN	16	nsubj
2	Joya	PROPN	1	flat
3	,	PUNCT	4	punct
4	portavoz	NOUN	1	appos
5	de	ADP	7	case
6	la	DET	7	det
7	Organización	PROPN	4	nmod
8	de	ADP	9	case
9	Consumidores	PROPN	7	flat
10	y	CCONJ	11	cc
11	Usuarios	PROPN	9	conj
12	(	PUNCT	13	punct
13	OCU	PROPN	7	flat
14	)	PUNCT	13	punct
15	,	PUNCT	4	punct
16	mostró	VERB	0	root
17	su	DET	18	det
18	queja	NOUN	16	obj
19	por	ADP	21	case
20	el	DET	21	det
21	tipo	NOUN	18	nmod
22	de	ADP	23	case
23	redondeo	NOUN	21	nmod
24	que	PRON	27	nsubj
25	se	PRON	27	expl:pass
26	ha	AUX	27	aux
27	aplicado	VERB	21	acl
28	en	ADP	30	case
29	algunos	DET	30	det
30	servicios	NOUN	27	obl
31	y	CCONJ	32	cc
32	productos	NOUN	30	conj
33	:	PUNCT	16	punct
34	"	PUNCT	16	punct
35	Ha	AUX	16	aux
36	habido	AUX	16	advcl
37	subidas	NOUN	36	obj
38	importantes	ADJ	37	amod
39	en	ADP	40	case
40	panadería	NOUN	37	nmod
41	,	PUNCT	42	punct
42	juegos	NOUN	40	conj
43	de	ADP	44	case
44	azar	NOUN	42	nmod
45	,	PUNCT	46	punct
46	cines	NOUN	40	conj
47	,	PUNCT	48	punct
48	buses	NOUN	40	conj
49	,	PUNCT	50	punct
50	metros	NOUN	40	conj
51	,	PUNCT	52	punct
52	revistas	NOUN	40	conj
53	y	CCONJ	54	cc
54	periódicos	NOUN	40	conj
55	"	PUNCT	36	punct
56	.	PUNCT	16	punct