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 portavoz de la Asociación de Consumidores Australianos (ACA), Gayle Kennedy, indicó a EFE que "naturalmente por la dimensión de los Juegos tendremos que esperar un aumento de precios como sucedió en Atlanta (EEUU) y Barcelona (España), sin embargo, si el consumidor considera que el precio no es justo puede usar un último recurso: el regateo".
Postion	Tokenization
1	La
2	portavoz
3	de
4	la
5	Asociación
6	de
7	Consumidores
8	Australianos
9	(
10	ACA
11	)
12	,
13	Gayle
14	Kennedy
15	,
16	indicó
17	a
18	EFE
19	que
20	"
21	naturalmente
22	por
23	la
24	dimensión
25	de
26	los
27	Juegos
28	tendremos
29	que
30	esperar
31	un
32	aumento
33	de
34	precios
35	como
36	sucedió
37	en
38	Atlanta
39	(
40	EEUU
41	)
42	y
43	Barcelona
44	(
45	España
46	)
47	,
48	sin
49	embargo
50	,
51	si
52	el
53	consumidor
54	considera
55	que
56	el
57	precio
58	no
59	es
60	justo
61	puede
62	usar
63	un
64	último
65	recurso
66	:
67	el
68	regateo
69	"
70	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	portavoz	NOUN	16	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Asociación	PROPN	2	nmod
6	de	ADP	7	case
7	Consumidores	PROPN	5	flat
8	Australianos	PROPN	7	flat
9	(	PUNCT	10	punct
10	ACA	PROPN	5	flat
11	)	PUNCT	10	punct
12	,	PUNCT	13	punct
13	Gayle	PROPN	2	appos
14	Kennedy	PROPN	13	flat
15	,	PUNCT	13	punct
16	indicó	VERB	0	root
17	a	ADP	18	case
18	EFE	PROPN	16	obj
19	que	SCONJ	30	mark
20	"	PUNCT	21	punct
21	naturalmente	ADV	30	advmod
22	por	ADP	24	case
23	la	DET	24	det
24	dimensión	NOUN	30	obl
25	de	ADP	27	case
26	los	DET	27	det
27	Juegos	PROPN	24	nmod
28	tendremos	VERB	16	ccomp
29	que	SCONJ	30	cc
30	esperar	VERB	28	conj
31	un	DET	32	det
32	aumento	NOUN	30	obj
33	de	ADP	34	case
34	precios	NOUN	32	nmod
35	como	SCONJ	36	mark
36	sucedió	VERB	30	advcl
37	en	ADP	38	case
38	Atlanta	PROPN	36	obl
39	(	PUNCT	40	punct
40	EEUU	PROPN	38	flat
41	)	PUNCT	40	punct
42	y	CCONJ	43	cc
43	Barcelona	PROPN	38	conj
44	(	PUNCT	45	punct
45	España	PROPN	43	flat
46	)	PUNCT	45	punct
47	,	PUNCT	62	punct
48	sin	ADP	62	cc
49	embargo	NOUN	48	fixed
50	,	PUNCT	54	punct
51	si	SCONJ	54	mark
52	el	DET	53	det
53	consumidor	NOUN	54	nsubj
54	considera	VERB	62	advcl
55	que	SCONJ	60	mark
56	el	DET	57	det
57	precio	NOUN	60	nsubj
58	no	ADV	60	advmod
59	es	AUX	60	cop
60	justo	ADJ	54	ccomp
61	puede	AUX	62	aux
62	usar	VERB	28	conj
63	un	DET	65	det
64	último	ADJ	65	amod
65	recurso	NOUN	62	obj
66	:	PUNCT	68	punct
67	el	DET	68	det
68	regateo	NOUN	65	appos
69	"	PUNCT	16	punct
70	.	PUNCT	16	punct