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:
Denver estuvo dirigido por un magistral John Elway, veterano quarterback de 38 años, que fue designado MVP (jugador más valioso) del partido.
Postion	Tokenization
1	Denver
2	estuvo
3	dirigido
4	por
5	un
6	magistral
7	John
8	Elway
9	,
10	veterano
11	quarterback
12	de
13	38
14	años
15	,
16	que
17	fue
18	designado
19	MVP
20	(
21	jugador
22	más
23	valioso
24	)
25	del
26	partido
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Denver	PROPN	3	nsubj
2	estuvo	AUX	3	cop
3	dirigido	ADJ	0	root
4	por	ADP	7	case
5	un	DET	7	det
6	magistral	ADJ	7	amod
7	John	PROPN	3	obj
8	Elway	PROPN	7	flat
9	,	PUNCT	11	punct
10	veterano	ADJ	11	amod
11	quarterback	NOUN	7	appos
12	de	ADP	14	case
13	38	NUM	14	nummod
14	años	NOUN	11	nmod
15	,	PUNCT	11	punct
16	que	PRON	18	nsubj
17	fue	AUX	18	aux
18	designado	VERB	7	acl
19	MVP	PROPN	18	obj
20	(	PUNCT	21	punct
21	jugador	NOUN	19	appos
22	más	ADV	23	advmod
23	valioso	ADJ	21	amod
24	)	PUNCT	21	punct
25	del	ADP	26	case
26	partido	NOUN	19	nmod
27	.	PUNCT	3	punct