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:
Pero, como buen experto la resolución de problemas, supo salir airoso del comité ejecutivo más difícil, en medio de una marea de conflictos provocados por el lío de los pasaportes falsos, la compra de partidos, los brotes de racismo y la violencia en los estadios.
Postion	Tokenization
1	Pero
2	,
3	como
4	buen
5	experto
6	la
7	resolución
8	de
9	problemas
10	,
11	supo
12	salir
13	airoso
14	del
15	comité
16	ejecutivo
17	más
18	difícil
19	,
20	en
21	medio
22	de
23	una
24	marea
25	de
26	conflictos
27	provocados
28	por
29	el
30	lío
31	de
32	los
33	pasaportes
34	falsos
35	,
36	la
37	compra
38	de
39	partidos
40	,
41	los
42	brotes
43	de
44	racismo
45	y
46	la
47	violencia
48	en
49	los
50	estadios
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	11	advmod
2	,	PUNCT	5	punct
3	como	SCONJ	5	mark
4	buen	ADJ	5	amod
5	experto	NOUN	11	obl
6	la	DET	7	det
7	resolución	NOUN	5	appos
8	de	ADP	9	case
9	problemas	NOUN	7	nmod
10	,	PUNCT	5	punct
11	supo	VERB	0	root
12	salir	VERB	11	xcomp
13	airoso	ADJ	12	obj
14	del	ADP	15	case
15	comité	NOUN	12	obl
16	ejecutivo	ADJ	15	amod
17	más	ADV	18	advmod
18	difícil	ADJ	15	amod
19	,	PUNCT	24	punct
20	en	ADP	24	case
21	medio	NOUN	20	fixed
22	de	ADP	20	fixed
23	una	DET	24	det
24	marea	NOUN	12	obl
25	de	ADP	26	case
26	conflictos	NOUN	24	nmod
27	provocados	ADJ	26	amod
28	por	ADP	30	case
29	el	DET	30	det
30	lío	NOUN	27	obl
31	de	ADP	33	case
32	los	DET	33	det
33	pasaportes	NOUN	30	nmod
34	falsos	ADJ	33	amod
35	,	PUNCT	37	punct
36	la	DET	37	det
37	compra	NOUN	33	appos
38	de	ADP	39	case
39	partidos	NOUN	37	nmod
40	,	PUNCT	42	punct
41	los	DET	42	det
42	brotes	NOUN	33	appos
43	de	ADP	44	case
44	racismo	NOUN	42	nmod
45	y	CCONJ	47	cc
46	la	DET	47	det
47	violencia	NOUN	33	conj
48	en	ADP	50	case
49	los	DET	50	det
50	estadios	NOUN	47	nmod
51	.	PUNCT	11	punct