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:
El defensa paraguayo Delio Toledo continúa recuperándose de sus problemas en la rodilla izquierda, por lo que Roger García volverá a ocupar su demarcación en lateral izquierdo.
Postion	Tokenization
1	El
2	defensa
3	paraguayo
4	Delio
5	Toledo
6	continúa
7	recuperándose
8	recuperando
9	se
10	de
11	sus
12	problemas
13	en
14	la
15	rodilla
16	izquierda
17	,
18	por
19	lo
20	que
21	Roger
22	García
23	volverá
24	a
25	ocupar
26	su
27	demarcación
28	en
29	lateral
30	izquierdo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	defensa	NOUN	6	nsubj
3	paraguayo	ADJ	2	amod
4	Delio	PROPN	2	appos
5	Toledo	PROPN	4	flat
6	continúa	VERB	0	root
7	recuperándose	_	None	_
8	recuperando	VERB	6	xcomp
9	se	PRON	7	expl:pv
10	de	ADP	11	case
11	sus	DET	11	det
12	problemas	NOUN	7	obj
13	en	ADP	14	case
14	la	DET	14	det
15	rodilla	NOUN	11	nmod
16	izquierda	ADJ	14	amod
17	,	PUNCT	22	punct
18	por	ADP	22	mark
19	lo	PRON	24	det
20	que	PRON	22	obl
21	Roger	PROPN	22	nsubj
22	García	PROPN	20	flat
23	volverá	VERB	7	advcl
24	a	ADP	24	mark
25	ocupar	VERB	22	xcomp
26	su	DET	26	det
27	demarcación	NOUN	22	obj
28	en	ADP	28	case
29	lateral	NOUN	26	nmod
30	izquierdo	ADJ	28	amod
31	.	PUNCT	6	punct