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:
"Será peligroso y complicado, pero al mismo tiempo es ilusionante y creo que se verá un buen encuentro, con dos equipos en pos de la victoria".
Postion	Tokenization
1	"
2	Será
3	peligroso
4	y
5	complicado
6	,
7	pero
8	al
9	mismo
10	tiempo
11	es
12	ilusionante
13	y
14	creo
15	que
16	se
17	verá
18	un
19	buen
20	encuentro
21	,
22	con
23	dos
24	equipos
25	en
26	pos
27	de
28	la
29	victoria
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Será	AUX	3	cop
3	peligroso	ADJ	0	root
4	y	CCONJ	5	cc
5	complicado	ADJ	3	conj
6	,	PUNCT	12	punct
7	pero	CCONJ	12	cc
8	al	ADP	12	advmod
9	mismo	ADJ	8	fixed
10	tiempo	NOUN	8	fixed
11	es	AUX	12	cop
12	ilusionante	ADJ	3	conj
13	y	CCONJ	14	cc
14	creo	VERB	3	conj
15	que	SCONJ	17	mark
16	se	PRON	17	expl:pass
17	verá	VERB	14	ccomp
18	un	DET	20	det
19	buen	ADJ	20	amod
20	encuentro	NOUN	17	nsubj
21	,	PUNCT	24	punct
22	con	ADP	24	case
23	dos	NUM	24	nummod
24	equipos	NOUN	20	nmod
25	en	ADP	29	case
26	pos	NOUN	25	fixed
27	de	ADP	25	fixed
28	la	DET	29	det
29	victoria	NOUN	24	nmod
30	"	PUNCT	3	punct
31	.	PUNCT	3	punct