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 técnico gallego convocó a 19 jugadores, entre los que destaca el mediocampista argentino Ariel "Caño" Ibagaza, recuperado ya de la lesión que le mantuvo un mes apartado de los terrenos de juego.
Postion	Tokenization
1	El
2	técnico
3	gallego
4	convocó
5	a
6	19
7	jugadores
8	,
9	entre
10	los
11	que
12	destaca
13	el
14	mediocampista
15	argentino
16	Ariel
17	"Caño"
18	Ibagaza
19	,
20	recuperado
21	ya
22	de
23	la
24	lesión
25	que
26	le
27	mantuvo
28	un
29	mes
30	apartado
31	de
32	los
33	terrenos
34	de
35	juego
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	4	nsubj
3	gallego	ADJ	2	amod
4	convocó	VERB	0	root
5	a	ADP	7	case
6	19	NUM	7	nummod
7	jugadores	NOUN	4	obj
8	,	PUNCT	12	punct
9	entre	ADP	11	case
10	los	DET	11	det
11	que	PRON	12	obl
12	destaca	VERB	7	acl
13	el	DET	14	det
14	mediocampista	NOUN	12	nsubj
15	argentino	ADJ	14	amod
16	Ariel	PROPN	14	appos
17	"Caño"	PROPN	16	flat
18	Ibagaza	PROPN	16	flat
19	,	PUNCT	20	punct
20	recuperado	ADJ	14	amod
21	ya	ADV	20	advmod
22	de	ADP	24	case
23	la	DET	24	det
24	lesión	NOUN	20	obj
25	que	PRON	27	nsubj
26	le	PRON	27	obj
27	mantuvo	VERB	24	acl
28	un	DET	29	det
29	mes	NOUN	27	obl
30	apartado	ADJ	27	obj
31	de	ADP	33	case
32	los	DET	33	det
33	terrenos	NOUN	30	obl
34	de	ADP	35	case
35	juego	NOUN	33	nmod
36	.	PUNCT	4	punct