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 corrida se inició guardando un minuto de silencio en recuerdo del compañero de la crítica taurina Ricardo Romero, fallecido el viernes 29 en Barcelona.
Postion	Tokenization
1	La
2	corrida
3	se
4	inició
5	guardando
6	un
7	minuto
8	de
9	silencio
10	en
11	recuerdo
12	del
13	compañero
14	de
15	la
16	crítica
17	taurina
18	Ricardo
19	Romero
20	,
21	fallecido
22	el
23	viernes
24	29
25	en
26	Barcelona
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	corrida	NOUN	4	nsubj
3	se	PRON	4	expl:pass
4	inició	VERB	0	root
5	guardando	VERB	4	advcl
6	un	DET	7	det
7	minuto	NOUN	5	obj
8	de	ADP	9	case
9	silencio	NOUN	7	nmod
10	en	ADP	11	case
11	recuerdo	NOUN	7	nmod
12	del	ADP	13	case
13	compañero	NOUN	11	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	crítica	NOUN	13	nmod
17	taurina	ADJ	16	amod
18	Ricardo	PROPN	13	appos
19	Romero	PROPN	18	flat
20	,	PUNCT	21	punct
21	fallecido	ADJ	13	amod
22	el	DET	23	det
23	viernes	NOUN	21	obl
24	29	NUM	23	compound
25	en	ADP	26	case
26	Barcelona	PROPN	21	obl
27	.	PUNCT	4	punct