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:
La prensa deportiva fue crítica con la actuación del equipo que pese a ganar 2-1 el partido de ida no deslumbró ante un país que no tiene tradición futbolística y que, empero, llegó a complicar al rival.
Postion	Tokenization
1	La
2	prensa
3	deportiva
4	fue
5	crítica
6	con
7	la
8	actuación
9	del
10	equipo
11	que
12	pese
13	a
14	ganar
15	2-1
16	el
17	partido
18	de
19	ida
20	no
21	deslumbró
22	ante
23	un
24	país
25	que
26	no
27	tiene
28	tradición
29	futbolística
30	y
31	que
32	,
33	empero
34	,
35	llegó
36	a
37	complicar
38	al
39	rival
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	prensa	NOUN	5	nsubj
3	deportiva	ADJ	2	amod
4	fue	AUX	5	cop
5	crítica	ADJ	0	root
6	con	ADP	8	case
7	la	DET	8	det
8	actuación	NOUN	5	nmod
9	del	ADP	10	case
10	equipo	NOUN	8	nmod
11	que	PRON	21	nsubj
12	pese	NOUN	14	mark
13	a	ADP	12	fixed
14	ganar	VERB	21	advcl
15	2-1	NUM	14	obl
16	el	DET	17	det
17	partido	NOUN	14	obj
18	de	ADP	19	case
19	ida	NOUN	17	nmod
20	no	ADV	21	advmod
21	deslumbró	VERB	10	acl
22	ante	ADP	24	case
23	un	DET	24	det
24	país	NOUN	21	obl
25	que	PRON	27	nsubj
26	no	ADV	27	advmod
27	tiene	VERB	24	acl
28	tradición	NOUN	27	obj
29	futbolística	ADJ	28	amod
30	y	CCONJ	35	cc
31	que	PRON	35	nsubj
32	,	PUNCT	33	punct
33	empero	ADV	35	advmod
34	,	PUNCT	33	punct
35	llegó	VERB	27	conj
36	a	ADP	37	mark
37	complicar	VERB	35	xcomp
38	al	ADP	39	case
39	rival	NOUN	37	obj
40	.	PUNCT	5	punct