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:
Tras sortear a la relaciones públicas del canal, se lanza al ruedo de su vida, celebrando el pasado, justificando el presente e ignorando el futuro.
Postion	Tokenization
1	Tras
2	sortear
3	a
4	la
5	relaciones
6	públicas
7	del
8	canal
9	,
10	se
11	lanza
12	al
13	ruedo
14	de
15	su
16	vida
17	,
18	celebrando
19	el
20	pasado
21	,
22	justificando
23	el
24	presente
25	e
26	ignorando
27	el
28	futuro
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	mark
2	sortear	VERB	11	advcl
3	a	ADP	5	case
4	la	DET	5	det
5	relaciones	NOUN	2	obj
6	públicas	NOUN	5	compound
7	del	ADP	8	case
8	canal	NOUN	5	nmod
9	,	PUNCT	2	punct
10	se	PRON	11	expl:pv
11	lanza	VERB	0	root
12	al	ADP	13	case
13	ruedo	NOUN	11	obj
14	de	ADP	16	case
15	su	DET	16	det
16	vida	NOUN	13	nmod
17	,	PUNCT	18	punct
18	celebrando	VERB	11	advcl
19	el	DET	20	det
20	pasado	NOUN	18	obj
21	,	PUNCT	22	punct
22	justificando	VERB	18	advcl
23	el	DET	24	det
24	presente	NOUN	22	obj
25	e	CCONJ	26	cc
26	ignorando	VERB	18	conj
27	el	DET	28	det
28	futuro	NOUN	26	obj
29	.	PUNCT	11	punct