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:
Por otra parte, la plantilla antoniana regresa esta tarde a los entrenamientos donde la principal preocupación es recuperar a los hombres lesionados para el partido del próximo Jueves ante el Airtel Valencia.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	la
6	plantilla
7	antoniana
8	regresa
9	esta
10	tarde
11	a
12	los
13	entrenamientos
14	donde
15	la
16	principal
17	preocupación
18	es
19	recuperar
20	a
21	los
22	hombres
23	lesionados
24	para
25	el
26	partido
27	del
28	próximo
29	Jueves
30	ante
31	el
32	Airtel
33	Valencia
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	8	advmod
2	otra	NOUN	1	fixed
3	parte	NOUN	1	fixed
4	,	PUNCT	1	punct
5	la	DET	6	det
6	plantilla	NOUN	8	nsubj
7	antoniana	ADJ	6	amod
8	regresa	VERB	0	root
9	esta	DET	10	det
10	tarde	NOUN	8	obl
11	a	ADP	13	case
12	los	DET	13	det
13	entrenamientos	NOUN	8	obl
14	donde	PRON	18	obl
15	la	DET	17	det
16	principal	ADJ	17	amod
17	preocupación	NOUN	18	nsubj
18	es	AUX	13	acl
19	recuperar	VERB	18	ccomp
20	a	ADP	22	case
21	los	DET	22	det
22	hombres	NOUN	19	obj
23	lesionados	ADJ	22	amod
24	para	ADP	26	case
25	el	DET	26	det
26	partido	NOUN	19	obl
27	del	ADP	29	case
28	próximo	ADJ	29	amod
29	Jueves	NOUN	26	nmod
30	ante	ADP	32	case
31	el	DET	32	det
32	Airtel	PROPN	26	nmod
33	Valencia	PROPN	32	flat
34	.	PUNCT	8	punct