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:
Relató que el Rey Juan Carlos "se emociona no cuando piensa en lo que ha hecho por el país, sino en lo que puede hacer" y subrayó que "esa entrega es uno de los aspectos más destacados de un reinado que está pasando a la historia de España como uno de los más brillantes, pero también como uno de los más esperanzadores"
Postion	Tokenization
1	Relató
2	que
3	el
4	Rey
5	Juan
6	Carlos
7	"
8	se
9	emociona
10	no
11	cuando
12	piensa
13	en
14	lo
15	que
16	ha
17	hecho
18	por
19	el
20	país
21	,
22	sino
23	en
24	lo
25	que
26	puede
27	hacer
28	"
29	y
30	subrayó
31	que
32	"
33	esa
34	entrega
35	es
36	uno
37	de
38	los
39	aspectos
40	más
41	destacados
42	de
43	un
44	reinado
45	que
46	está
47	pasando
48	a
49	la
50	historia
51	de
52	España
53	como
54	uno
55	de
56	los
57	más
58	brillantes
59	,
60	pero
61	también
62	como
63	uno
64	de
65	los
66	más
67	esperanzadores
68	"
Position	Tokenization	UPOS	Head	Deprel
1	Relató	VERB	0	root
2	que	SCONJ	9	mark
3	el	DET	4	det
4	Rey	PROPN	9	nsubj
5	Juan	PROPN	4	flat
6	Carlos	PROPN	4	flat
7	"	PUNCT	9	punct
8	se	PRON	9	expl:pv
9	emociona	VERB	1	ccomp
10	no	ADV	12	cc
11	cuando	SCONJ	12	mark
12	piensa	VERB	9	advcl
13	en	ADP	17	mark
14	lo	PRON	17	det
15	que	PRON	17	obj
16	ha	AUX	17	aux
17	hecho	VERB	12	ccomp
18	por	ADP	20	case
19	el	DET	20	det
20	país	NOUN	17	obl
21	,	PUNCT	27	punct
22	sino	CCONJ	27	cc
23	en	ADP	27	mark
24	lo	PRON	27	det
25	que	PRON	27	obj
26	puede	AUX	27	aux
27	hacer	VERB	12	conj
28	"	PUNCT	9	punct
29	y	CCONJ	30	cc
30	subrayó	VERB	1	conj
31	que	SCONJ	36	mark
32	"	PUNCT	36	punct
33	esa	DET	34	det
34	entrega	NOUN	36	nsubj
35	es	AUX	36	cop
36	uno	PRON	30	ccomp
37	de	ADP	39	case
38	los	DET	39	det
39	aspectos	NOUN	36	nmod
40	más	ADV	41	advmod
41	destacados	ADJ	39	amod
42	de	ADP	44	case
43	un	DET	44	det
44	reinado	NOUN	39	nmod
45	que	PRON	47	nsubj
46	está	AUX	47	aux
47	pasando	VERB	44	acl
48	a	ADP	50	case
49	la	DET	50	det
50	historia	NOUN	47	obl
51	de	ADP	52	case
52	España	PROPN	50	nmod
53	como	SCONJ	54	mark
54	uno	PRON	47	obj
55	de	ADP	58	case
56	los	DET	58	det
57	más	ADV	58	advmod
58	brillantes	ADJ	54	amod
59	,	PUNCT	61	punct
60	pero	CCONJ	61	cc
61	también	ADV	54	conj
62	como	SCONJ	61	mark
63	uno	PRON	61	obj
64	de	ADP	67	case
65	los	DET	67	det
66	más	ADV	67	advmod
67	esperanzadores	ADJ	63	amod
68	"	PUNCT	36	punct