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 melena de aspecto canoso y desordenado del nuevo primer ministro japonés, Junichiro Koizumi, al que ya se conoce con el apodo de Rey León, es el resultado de los denodados esfuerzos de su peluquero para satisfacer los deseos de la "aparente naturalidad" del gobernante.
Postion	Tokenization
1	La
2	melena
3	de
4	aspecto
5	canoso
6	y
7	desordenado
8	del
9	nuevo
10	primer
11	ministro
12	japonés
13	,
14	Junichiro
15	Koizumi
16	,
17	al
18	que
19	ya
20	se
21	conoce
22	con
23	el
24	apodo
25	de
26	Rey
27	León
28	,
29	es
30	el
31	resultado
32	de
33	los
34	denodados
35	esfuerzos
36	de
37	su
38	peluquero
39	para
40	satisfacer
41	los
42	deseos
43	de
44	la
45	"
46	aparente
47	naturalidad
48	"
49	del
50	gobernante
51	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	melena	NOUN	31	nsubj
3	de	ADP	4	case
4	aspecto	NOUN	2	nmod
5	canoso	ADJ	4	amod
6	y	CCONJ	7	cc
7	desordenado	ADJ	5	conj
8	del	ADP	11	case
9	nuevo	ADJ	11	amod
10	primer	ADJ	11	amod
11	ministro	NOUN	2	nmod
12	japonés	ADJ	11	amod
13	,	PUNCT	14	punct
14	Junichiro	PROPN	11	appos
15	Koizumi	PROPN	14	flat
16	,	PUNCT	14	punct
17	al	ADP	18	case
18	que	PRON	21	obj
19	ya	ADV	21	advmod
20	se	PRON	21	expl:impers
21	conoce	VERB	11	acl
22	con	ADP	24	case
23	el	DET	24	det
24	apodo	NOUN	21	obl
25	de	ADP	26	case
26	Rey	PROPN	24	nmod
27	León	PROPN	26	flat
28	,	PUNCT	21	punct
29	es	AUX	31	cop
30	el	DET	31	det
31	resultado	NOUN	0	root
32	de	ADP	35	case
33	los	DET	35	det
34	denodados	ADJ	35	amod
35	esfuerzos	NOUN	31	nmod
36	de	ADP	38	case
37	su	DET	38	det
38	peluquero	NOUN	35	nmod
39	para	ADP	40	mark
40	satisfacer	VERB	35	acl
41	los	DET	42	det
42	deseos	NOUN	40	obj
43	de	ADP	47	case
44	la	DET	47	det
45	"	PUNCT	47	punct
46	aparente	ADJ	47	amod
47	naturalidad	NOUN	42	nmod
48	"	PUNCT	47	punct
49	del	ADP	50	case
50	gobernante	NOUN	42	nmod
51	.	PUNCT	31	punct