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:
Según ha revelado su peluquero, el peinado de Koizumi, de 59 años, se debe a una permanente parcial y el brillo de sus canas está acentuado con una crema especial.
Postion	Tokenization
1	Según
2	ha
3	revelado
4	su
5	peluquero
6	,
7	el
8	peinado
9	de
10	Koizumi
11	,
12	de
13	59
14	años
15	,
16	se
17	debe
18	a
19	una
20	permanente
21	parcial
22	y
23	el
24	brillo
25	de
26	sus
27	canas
28	está
29	acentuado
30	con
31	una
32	crema
33	especial
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	3	mark
2	ha	AUX	3	aux
3	revelado	VERB	0	root
4	su	DET	5	det
5	peluquero	NOUN	3	nsubj
6	,	PUNCT	3	punct
7	el	DET	8	det
8	peinado	NOUN	17	nsubj
9	de	ADP	10	case
10	Koizumi	PROPN	8	nmod
11	,	PUNCT	14	punct
12	de	ADP	14	case
13	59	NUM	14	nummod
14	años	NOUN	10	nmod
15	,	PUNCT	14	punct
16	se	PRON	17	expl:pv
17	debe	VERB	3	advcl
18	a	ADP	20	case
19	una	DET	20	det
20	permanente	NOUN	17	obj
21	parcial	ADJ	20	amod
22	y	CCONJ	28	cc
23	el	DET	24	det
24	brillo	NOUN	28	nsubj
25	de	ADP	27	case
26	sus	DET	27	det
27	canas	NOUN	24	nmod
28	está	VERB	17	conj
29	acentuado	ADJ	28	obj
30	con	ADP	32	case
31	una	DET	32	det
32	crema	NOUN	29	obl
33	especial	ADJ	32	amod
34	.	PUNCT	3	punct