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:
Los dos mejores jugadores del mundo tuvieron que emplear muchos minutos en cada jugada dada la complejidad de la posición.
Postion	Tokenization
1	Los
2	dos
3	mejores
4	jugadores
5	del
6	mundo
7	tuvieron
8	que
9	emplear
10	muchos
11	minutos
12	en
13	cada
14	jugada
15	dada
16	la
17	complejidad
18	de
19	la
20	posición
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	4	det
2	dos	NUM	1	nummod
3	mejores	ADJ	4	amod
4	jugadores	NOUN	9	nsubj
5	del	ADP	6	case
6	mundo	NOUN	4	nmod
7	tuvieron	VERB	0	root
8	que	SCONJ	9	cc
9	emplear	VERB	7	conj
10	muchos	DET	11	det
11	minutos	NOUN	9	obj
12	en	ADP	14	case
13	cada	DET	14	det
14	jugada	NOUN	9	obl
15	dada	VERB	9	advcl
16	la	DET	17	det
17	complejidad	NOUN	15	nsubj
18	de	ADP	20	case
19	la	DET	20	det
20	posición	NOUN	17	nmod
21	.	PUNCT	7	punct