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 equipo rojiblanco ganó 1-2 en San Sebastián y el técnico realista, Bernd Krauss, decidió ayer no convocar para este encuentro a Kovacevic, Sa Pinto, De Pedro, Gómez y Aranzabal.
Postion	Tokenization
1	El
2	equipo
3	rojiblanco
4	ganó
5	1-2
6	en
7	San
8	Sebastián
9	y
10	el
11	técnico
12	realista
13	,
14	Bernd
15	Krauss
16	,
17	decidió
18	ayer
19	no
20	convocar
21	para
22	este
23	encuentro
24	a
25	Kovacevic
26	,
27	Sa
28	Pinto
29	,
30	De
31	Pedro
32	,
33	Gómez
34	y
35	Aranzabal
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	equipo	NOUN	4	nsubj
3	rojiblanco	ADJ	2	amod
4	ganó	VERB	0	root
5	1-2	NUM	4	obl
6	en	ADP	7	case
7	San	PROPN	4	obl
8	Sebastián	PROPN	7	flat
9	y	CCONJ	17	cc
10	el	DET	11	det
11	técnico	NOUN	17	nsubj
12	realista	ADJ	11	amod
13	,	PUNCT	14	punct
14	Bernd	PROPN	11	appos
15	Krauss	PROPN	14	flat
16	,	PUNCT	14	punct
17	decidió	VERB	4	conj
18	ayer	ADV	17	advmod
19	no	ADV	20	advmod
20	convocar	VERB	17	xcomp
21	para	ADP	23	case
22	este	DET	23	det
23	encuentro	NOUN	20	obl
24	a	ADP	25	case
25	Kovacevic	PROPN	20	obj
26	,	PUNCT	27	punct
27	Sa	PROPN	25	conj
28	Pinto	PROPN	27	flat
29	,	PUNCT	31	punct
30	De	ADP	31	case
31	Pedro	PROPN	25	conj
32	,	PUNCT	33	punct
33	Gómez	PROPN	25	conj
34	y	CCONJ	35	cc
35	Aranzabal	PROPN	25	conj
36	.	PUNCT	4	punct