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:
En un momento en que el entrenador necesitaría una muestra pública de confianza, el presidente ha desaparecido de escena y ha dejado este papel en manos de sus colaboradores más cercanos.
Postion	Tokenization
1	En
2	un
3	momento
4	en
5	que
6	el
7	entrenador
8	necesitaría
9	una
10	muestra
11	pública
12	de
13	confianza
14	,
15	el
16	presidente
17	ha
18	desaparecido
19	de
20	escena
21	y
22	ha
23	dejado
24	este
25	papel
26	en
27	manos
28	de
29	sus
30	colaboradores
31	más
32	cercanos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	un	DET	3	det
3	momento	NOUN	18	obl
4	en	ADP	5	case
5	que	PRON	8	obl
6	el	DET	7	det
7	entrenador	NOUN	8	nsubj
8	necesitaría	VERB	3	acl
9	una	DET	10	det
10	muestra	NOUN	8	obj
11	pública	ADJ	10	amod
12	de	ADP	13	case
13	confianza	NOUN	10	nmod
14	,	PUNCT	3	punct
15	el	DET	16	det
16	presidente	NOUN	18	nsubj
17	ha	AUX	18	aux
18	desaparecido	VERB	0	root
19	de	ADP	20	case
20	escena	NOUN	18	obl
21	y	CCONJ	23	cc
22	ha	AUX	23	aux
23	dejado	VERB	18	conj
24	este	DET	25	det
25	papel	NOUN	23	obj
26	en	ADP	30	case
27	manos	NOUN	26	fixed
28	de	ADP	26	fixed
29	sus	DET	30	det
30	colaboradores	NOUN	23	obl
31	más	ADV	32	advmod
32	cercanos	ADJ	30	amod
33	.	PUNCT	18	punct