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 director general de ANFAC, Luis Valero, declaró hoy a EFE que estos resultados de Junio apuntan a un estancamiento en la demanda de particulares, ya que se ha detectado un importante incremento de las compras por parte de las empresas de alquiler ante las buenas perspectivas de la temporada turística.
Postion	Tokenization
1	El
2	director
3	general
4	de
5	ANFAC
6	,
7	Luis
8	Valero
9	,
10	declaró
11	hoy
12	a
13	EFE
14	que
15	estos
16	resultados
17	de
18	Junio
19	apuntan
20	a
21	un
22	estancamiento
23	en
24	la
25	demanda
26	de
27	particulares
28	,
29	ya
30	que
31	se
32	ha
33	detectado
34	un
35	importante
36	incremento
37	de
38	las
39	compras
40	por
41	parte
42	de
43	las
44	empresas
45	de
46	alquiler
47	ante
48	las
49	buenas
50	perspectivas
51	de
52	la
53	temporada
54	turística
55	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	director	NOUN	10	nsubj
3	general	ADJ	2	amod
4	de	ADP	5	case
5	ANFAC	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Luis	PROPN	2	appos
8	Valero	PROPN	7	flat
9	,	PUNCT	7	punct
10	declaró	VERB	0	root
11	hoy	ADV	10	advmod
12	a	ADP	13	case
13	EFE	PROPN	10	iobj
14	que	SCONJ	19	mark
15	estos	DET	16	det
16	resultados	NOUN	19	nsubj
17	de	ADP	18	case
18	Junio	NOUN	16	nmod
19	apuntan	VERB	10	ccomp
20	a	ADP	22	case
21	un	DET	22	det
22	estancamiento	NOUN	19	obl
23	en	ADP	25	case
24	la	DET	25	det
25	demanda	NOUN	22	nmod
26	de	ADP	27	case
27	particulares	NOUN	25	nmod
28	,	PUNCT	33	punct
29	ya	ADV	33	mark
30	que	SCONJ	29	fixed
31	se	PRON	33	expl:pass
32	ha	AUX	33	aux
33	detectado	VERB	19	advcl
34	un	DET	36	det
35	importante	ADJ	36	amod
36	incremento	NOUN	33	nsubj
37	de	ADP	39	case
38	las	DET	39	det
39	compras	NOUN	36	nmod
40	por	ADP	44	case
41	parte	NOUN	40	fixed
42	de	ADP	40	fixed
43	las	DET	44	det
44	empresas	NOUN	36	nmod
45	de	ADP	46	case
46	alquiler	NOUN	44	nmod
47	ante	ADP	50	case
48	las	DET	50	det
49	buenas	ADJ	50	amod
50	perspectivas	NOUN	36	nmod
51	de	ADP	53	case
52	la	DET	53	det
53	temporada	NOUN	50	nmod
54	turística	ADJ	53	amod
55	.	PUNCT	10	punct