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 posición y el esfuerzo de estos dos centrocampistas dio más libertad al genial Riquelme para la creación, aunque los delanteros Alfredo Moreno y Marcelo Delgado estaban consumidos por sus marcas.
Postion	Tokenization
1	La
2	posición
3	y
4	el
5	esfuerzo
6	de
7	estos
8	dos
9	centrocampistas
10	dio
11	más
12	libertad
13	al
14	genial
15	Riquelme
16	para
17	la
18	creación
19	,
20	aunque
21	los
22	delanteros
23	Alfredo
24	Moreno
25	y
26	Marcelo
27	Delgado
28	estaban
29	consumidos
30	por
31	sus
32	marcas
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	posición	NOUN	10	nsubj
3	y	CCONJ	5	cc
4	el	DET	5	det
5	esfuerzo	NOUN	2	conj
6	de	ADP	9	case
7	estos	DET	9	det
8	dos	NUM	7	nummod
9	centrocampistas	NOUN	5	nmod
10	dio	VERB	0	root
11	más	ADV	12	advmod
12	libertad	NOUN	10	obj
13	al	ADP	15	case
14	genial	ADJ	15	amod
15	Riquelme	PROPN	10	obj
16	para	ADP	18	case
17	la	DET	18	det
18	creación	NOUN	10	obl
19	,	PUNCT	29	punct
20	aunque	SCONJ	29	mark
21	los	DET	22	det
22	delanteros	NOUN	29	nsubj
23	Alfredo	PROPN	22	appos
24	Moreno	PROPN	23	flat
25	y	CCONJ	26	cc
26	Marcelo	PROPN	23	conj
27	Delgado	PROPN	26	flat
28	estaban	AUX	29	cop
29	consumidos	ADJ	10	advcl
30	por	ADP	32	case
31	sus	DET	32	det
32	marcas	NOUN	29	obl
33	.	PUNCT	10	punct