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:
"Si no se resuelve este tema, no habrá acuerdo en el resto", predijo De Miguel, quien se inclinó por una reponderación de votos "sustancial y no cosmética" por encima de la doble mayoría, a la que apreció como "un sistema muy pesado en la toma de decisiones".
Postion	Tokenization
1	"
2	Si
3	no
4	se
5	resuelve
6	este
7	tema
8	,
9	no
10	habrá
11	acuerdo
12	en
13	el
14	resto
15	"
16	,
17	predijo
18	De
19	Miguel
20	,
21	quien
22	se
23	inclinó
24	por
25	una
26	reponderación
27	de
28	votos
29	"
30	sustancial
31	y
32	no
33	cosmética
34	"
35	por
36	encima
37	de
38	la
39	doble
40	mayoría
41	,
42	a
43	la
44	que
45	apreció
46	como
47	"
48	un
49	sistema
50	muy
51	pesado
52	en
53	la
54	toma
55	de
56	decisiones
57	"
58	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	10	punct
2	Si	SCONJ	5	mark
3	no	ADV	5	advmod
4	se	PRON	5	expl:pass
5	resuelve	VERB	10	advcl
6	este	DET	7	det
7	tema	NOUN	5	nsubj
8	,	PUNCT	5	punct
9	no	ADV	10	advmod
10	habrá	AUX	17	ccomp
11	acuerdo	NOUN	10	obj
12	en	ADP	14	case
13	el	DET	14	det
14	resto	NOUN	10	obl
15	"	PUNCT	10	punct
16	,	PUNCT	10	punct
17	predijo	VERB	0	root
18	De	ADP	23	mark
19	Miguel	PROPN	17	nsubj
20	,	PUNCT	23	punct
21	quien	PRON	23	nsubj
22	se	PRON	23	expl:pv
23	inclinó	VERB	19	acl
24	por	ADP	26	case
25	una	DET	26	det
26	reponderación	NOUN	23	obj
27	de	ADP	28	case
28	votos	NOUN	26	nmod
29	"	PUNCT	30	punct
30	sustancial	ADJ	26	amod
31	y	CCONJ	33	cc
32	no	ADV	33	advmod
33	cosmética	ADJ	30	conj
34	"	PUNCT	30	punct
35	por	ADP	40	case
36	encima	ADV	35	fixed
37	de	ADP	35	fixed
38	la	DET	40	det
39	doble	NUM	38	nummod
40	mayoría	NOUN	23	obl
41	,	PUNCT	45	punct
42	a	ADP	44	case
43	la	DET	44	det
44	que	PRON	45	obj
45	apreció	VERB	40	acl
46	como	SCONJ	49	mark
47	"	PUNCT	49	punct
48	un	DET	49	det
49	sistema	NOUN	45	obl
50	muy	ADV	51	advmod
51	pesado	ADJ	49	amod
52	en	ADP	54	case
53	la	DET	54	det
54	toma	NOUN	51	nmod
55	de	ADP	56	case
56	decisiones	NOUN	54	nmod
57	"	PUNCT	49	punct
58	.	PUNCT	17	punct