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:
Respecto a los dos jugadores de su plantel que se encuentran con problemas físicos, el técnico se mostró confiado en que tanto Víctor Luengo como Hughes Occansey estarán en condiciones de jugar.
Postion	Tokenization
1	Respecto
2	a
3	los
4	dos
5	jugadores
6	de
7	su
8	plantel
9	que
10	se
11	encuentran
12	con
13	problemas
14	físicos
15	,
16	el
17	técnico
18	se
19	mostró
20	confiado
21	en
22	que
23	tanto
24	Víctor
25	Luengo
26	como
27	Hughes
28	Occansey
29	estarán
30	en
31	condiciones
32	de
33	jugar
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Respecto	NOUN	5	case
2	a	ADP	1	fixed
3	los	DET	5	det
4	dos	NUM	3	nummod
5	jugadores	NOUN	19	obl
6	de	ADP	8	case
7	su	DET	8	det
8	plantel	NOUN	5	nmod
9	que	PRON	11	nsubj
10	se	PRON	11	expl:pv
11	encuentran	VERB	5	acl
12	con	ADP	13	case
13	problemas	NOUN	11	obl
14	físicos	ADJ	13	amod
15	,	PUNCT	5	punct
16	el	DET	17	det
17	técnico	NOUN	19	nsubj
18	se	PRON	19	expl:pv
19	mostró	VERB	0	root
20	confiado	ADJ	19	obj
21	en	ADP	31	mark
22	que	SCONJ	31	mark
23	tanto	ADV	24	cc
24	Víctor	PROPN	31	nsubj
25	Luengo	PROPN	24	flat
26	como	SCONJ	27	cc
27	Hughes	PROPN	24	conj
28	Occansey	PROPN	27	flat
29	estarán	AUX	31	cop
30	en	ADP	31	case
31	condiciones	NOUN	20	ccomp
32	de	ADP	33	mark
33	jugar	VERB	31	acl
34	.	PUNCT	19	punct