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:
Además de la presión que le supuso la exigencia de Córdoba, el técnico colombiano tendrá que vérselas las con Bermúdez, quien comentó en Buenos Aires que la selección de su país no tenía un sistema de juego claro ni eficiente.
Postion	Tokenization
1	Además
2	de
3	la
4	presión
5	que
6	le
7	supuso
8	la
9	exigencia
10	de
11	Córdoba
12	,
13	el
14	técnico
15	colombiano
16	tendrá
17	que
18	vérselas
19	ver
20	se
21	las
22	con
23	Bermúdez
24	,
25	quien
26	comentó
27	en
28	Buenos
29	Aires
30	que
31	la
32	selección
33	de
34	su
35	país
36	no
37	tenía
38	un
39	sistema
40	de
41	juego
42	claro
43	ni
44	eficiente
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	case
2	de	ADP	1	fixed
3	la	DET	4	det
4	presión	NOUN	18	obl
5	que	PRON	7	nsubj
6	le	PRON	7	obj
7	supuso	VERB	4	acl
8	la	DET	9	det
9	exigencia	NOUN	7	obj
10	de	ADP	11	case
11	Córdoba	PROPN	9	nmod
12	,	PUNCT	4	punct
13	el	DET	14	det
14	técnico	NOUN	18	nsubj
15	colombiano	ADJ	14	amod
16	tendrá	VERB	0	root
17	que	SCONJ	18	cc
18	vérselas	_	None	_
19	ver	VERB	16	conj
20	se	PRON	18	iobj
21	las	PRON	18	iobj
22	con	ADP	22	case
23	Bermúdez	PROPN	18	obj
24	,	PUNCT	25	punct
25	quien	PRON	25	nsubj
26	comentó	VERB	22	acl
27	en	ADP	27	case
28	Buenos	PROPN	25	obl
29	Aires	PROPN	27	flat
30	que	SCONJ	36	mark
31	la	DET	31	det
32	selección	NOUN	36	nsubj
33	de	ADP	34	case
34	su	DET	34	det
35	país	NOUN	31	nmod
36	no	ADV	36	advmod
37	tenía	VERB	25	ccomp
38	un	DET	38	det
39	sistema	NOUN	36	obj
40	de	ADP	40	case
41	juego	NOUN	38	nmod
42	claro	ADJ	40	amod
43	ni	CCONJ	43	cc
44	eficiente	ADJ	41	conj
45	.	PUNCT	16	punct