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:
El técnico de la selección colombiana de fútbol, Luis Augusto García, no ha podido resolver el dilema sobre quién, entre Jorge Bermúdez del Boca Juniors o Mario Yepes del River Plate de Argentina, se quedará en el banco de suplentes en el partido contra Perú el próximo 19 de julio en Lima.
Postion	Tokenization
1	El
2	técnico
3	de
4	la
5	selección
6	colombiana
7	de
8	fútbol
9	,
10	Luis
11	Augusto
12	García
13	,
14	no
15	ha
16	podido
17	resolver
18	el
19	dilema
20	sobre
21	quién
22	,
23	entre
24	Jorge
25	Bermúdez
26	del
27	Boca
28	Juniors
29	o
30	Mario
31	Yepes
32	del
33	River
34	Plate
35	de
36	Argentina
37	,
38	se
39	quedará
40	en
41	el
42	banco
43	de
44	suplentes
45	en
46	el
47	partido
48	contra
49	Perú
50	el
51	próximo
52	19
53	de
54	julio
55	en
56	Lima
57	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	17	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	selección	NOUN	2	nmod
6	colombiana	ADJ	5	amod
7	de	ADP	8	case
8	fútbol	NOUN	5	nmod
9	,	PUNCT	10	punct
10	Luis	PROPN	2	appos
11	Augusto	PROPN	10	flat
12	García	PROPN	10	flat
13	,	PUNCT	10	punct
14	no	ADV	17	advmod
15	ha	AUX	17	aux
16	podido	AUX	17	aux
17	resolver	VERB	0	root
18	el	DET	19	det
19	dilema	NOUN	17	obj
20	sobre	ADP	39	mark
21	quién	PRON	39	nsubj
22	,	PUNCT	24	punct
23	entre	ADP	24	case
24	Jorge	PROPN	21	nmod
25	Bermúdez	PROPN	24	flat
26	del	ADP	27	case
27	Boca	PROPN	24	nmod
28	Juniors	PROPN	27	flat
29	o	CCONJ	30	cc
30	Mario	PROPN	24	conj
31	Yepes	PROPN	30	flat
32	del	ADP	33	case
33	River	PROPN	30	nmod
34	Plate	PROPN	33	flat
35	de	ADP	36	case
36	Argentina	PROPN	24	nmod
37	,	PUNCT	24	punct
38	se	PRON	39	expl:pv
39	quedará	VERB	19	acl
40	en	ADP	42	case
41	el	DET	42	det
42	banco	NOUN	39	obl
43	de	ADP	44	case
44	suplentes	NOUN	42	nmod
45	en	ADP	47	case
46	el	DET	47	det
47	partido	NOUN	39	obl
48	contra	ADP	49	case
49	Perú	PROPN	47	nmod
50	el	DET	52	det
51	próximo	ADJ	52	amod
52	19	NUM	47	appos
53	de	ADP	54	case
54	julio	NOUN	52	compound
55	en	ADP	56	case
56	Lima	PROPN	47	nmod
57	.	PUNCT	17	punct