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:
"Confío en que por su concepto del honor y de la autoridad, y por las funciones que desempeñan, aceptarán mi petición", indicó Kostunica y agregó que "así impedirían que el proceso electoral se convirtiera en una farsa, eliminaríamos las dudas y atenuaríamos el descontento justificado de los ciudadanos".
Postion	Tokenization
1	"
2	Confío
3	en
4	que
5	por
6	su
7	concepto
8	del
9	honor
10	y
11	de
12	la
13	autoridad
14	,
15	y
16	por
17	las
18	funciones
19	que
20	desempeñan
21	,
22	aceptarán
23	mi
24	petición
25	"
26	,
27	indicó
28	Kostunica
29	y
30	agregó
31	que
32	"
33	así
34	impedirían
35	que
36	el
37	proceso
38	electoral
39	se
40	convirtiera
41	en
42	una
43	farsa
44	,
45	eliminaríamos
46	las
47	dudas
48	y
49	atenuaríamos
50	el
51	descontento
52	justificado
53	de
54	los
55	ciudadanos
56	"
57	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Confío	VERB	27	ccomp
3	en	ADP	22	mark
4	que	SCONJ	22	mark
5	por	ADP	7	case
6	su	DET	7	det
7	concepto	NOUN	22	obl
8	del	ADP	9	case
9	honor	NOUN	7	nmod
10	y	CCONJ	13	cc
11	de	ADP	13	case
12	la	DET	13	det
13	autoridad	NOUN	9	conj
14	,	PUNCT	18	punct
15	y	CCONJ	18	cc
16	por	ADP	18	case
17	las	DET	18	det
18	funciones	NOUN	7	conj
19	que	PRON	18	nmod
20	desempeñan	VERB	19	case
21	,	PUNCT	7	punct
22	aceptarán	VERB	2	ccomp
23	mi	DET	24	det
24	petición	NOUN	22	obj
25	"	PUNCT	2	punct
26	,	PUNCT	2	punct
27	indicó	VERB	0	root
28	Kostunica	PROPN	27	nsubj
29	y	CCONJ	30	cc
30	agregó	VERB	27	conj
31	que	SCONJ	34	mark
32	"	PUNCT	34	punct
33	así	ADV	34	advmod
34	impedirían	VERB	30	ccomp
35	que	SCONJ	40	mark
36	el	DET	37	det
37	proceso	NOUN	40	nsubj
38	electoral	ADJ	37	amod
39	se	PRON	40	expl:pv
40	convirtiera	VERB	34	ccomp
41	en	ADP	43	case
42	una	DET	43	det
43	farsa	NOUN	40	obj
44	,	PUNCT	45	punct
45	eliminaríamos	VERB	34	advcl
46	las	DET	47	det
47	dudas	NOUN	45	obj
48	y	CCONJ	49	cc
49	atenuaríamos	VERB	34	conj
50	el	DET	51	det
51	descontento	NOUN	49	obj
52	justificado	ADJ	51	amod
53	de	ADP	55	case
54	los	DET	55	det
55	ciudadanos	NOUN	51	nmod
56	"	PUNCT	34	punct
57	.	PUNCT	27	punct