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:
Mikako Kotani, medallista olímpica y componente de la Ejecutiva del OBC, natural de Tokio pero cuya madre es de Osaka, ensalzó la amabilidad del pueblo de esta ciudad, que "adora el deporte" y tiene "un gran deseo de amistad", al margen de "mucha energía a disposición de los Juegos".
Postion	Tokenization
1	Mikako
2	Kotani
3	,
4	medallista
5	olímpica
6	y
7	componente
8	de
9	la
10	Ejecutiva
11	del
12	OBC
13	,
14	natural
15	de
16	Tokio
17	pero
18	cuya
19	madre
20	es
21	de
22	Osaka
23	,
24	ensalzó
25	la
26	amabilidad
27	del
28	pueblo
29	de
30	esta
31	ciudad
32	,
33	que
34	"
35	adora
36	el
37	deporte
38	"
39	y
40	tiene
41	"
42	un
43	gran
44	deseo
45	de
46	amistad
47	"
48	,
49	al
50	margen
51	de
52	"
53	mucha
54	energía
55	a
56	disposición
57	de
58	los
59	Juegos
60	"
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Mikako	PROPN	24	nsubj
2	Kotani	PROPN	1	flat
3	,	PUNCT	4	punct
4	medallista	NOUN	1	appos
5	olímpica	ADJ	4	amod
6	y	CCONJ	7	cc
7	componente	NOUN	4	conj
8	de	ADP	10	case
9	la	DET	10	det
10	Ejecutiva	PROPN	7	nmod
11	del	ADP	12	case
12	OBC	PROPN	10	flat
13	,	PUNCT	4	punct
14	natural	ADJ	1	amod
15	de	ADP	16	case
16	Tokio	PROPN	14	nmod
17	pero	CCONJ	22	cc
18	cuya	PRON	19	nmod
19	madre	NOUN	22	nsubj
20	es	AUX	22	cop
21	de	ADP	22	case
22	Osaka	PROPN	14	conj
23	,	PUNCT	1	punct
24	ensalzó	VERB	0	root
25	la	DET	26	det
26	amabilidad	NOUN	24	obj
27	del	ADP	28	case
28	pueblo	NOUN	26	nmod
29	de	ADP	31	case
30	esta	DET	31	det
31	ciudad	NOUN	28	nmod
32	,	PUNCT	35	punct
33	que	PRON	35	nsubj
34	"	PUNCT	35	punct
35	adora	VERB	28	acl
36	el	DET	37	det
37	deporte	NOUN	35	obj
38	"	PUNCT	40	punct
39	y	CCONJ	40	cc
40	tiene	VERB	35	conj
41	"	PUNCT	44	punct
42	un	DET	44	det
43	gran	ADJ	44	amod
44	deseo	NOUN	40	obj
45	de	ADP	46	case
46	amistad	NOUN	44	nmod
47	"	PUNCT	44	punct
48	,	PUNCT	54	punct
49	al	ADP	54	case
50	margen	NOUN	49	fixed
51	de	ADP	49	fixed
52	"	PUNCT	54	punct
53	mucha	DET	54	det
54	energía	NOUN	40	obl
55	a	ADP	56	case
56	disposición	NOUN	54	nmod
57	de	ADP	59	case
58	los	DET	59	det
59	Juegos	PROPN	56	nmod
60	"	PUNCT	54	punct
61	.	PUNCT	24	punct