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:
"Creo que el ejemplo del año pasado puede servirnos, que cuando este equipo necesita reaccionar lo hace en el momento oportuno", explicó Torre.
Postion	Tokenization
1	"
2	Creo
3	que
4	el
5	ejemplo
6	del
7	año
8	pasado
9	puede
10	servirnos
11	servir
12	nos
13	,
14	que
15	cuando
16	este
17	equipo
18	necesita
19	reaccionar
20	lo
21	hace
22	en
23	el
24	momento
25	oportuno
26	"
27	,
28	explicó
29	Torre
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Creo	VERB	27	ccomp
3	que	SCONJ	10	mark
4	el	DET	5	det
5	ejemplo	NOUN	10	nsubj
6	del	ADP	7	case
7	año	NOUN	5	nmod
8	pasado	ADJ	7	amod
9	puede	AUX	10	aux
10	servirnos	_	None	_
11	servir	VERB	2	xcomp
12	nos	PRON	10	iobj
13	,	PUNCT	10	punct
14	que	SCONJ	20	mark
15	cuando	SCONJ	17	mark
16	este	DET	16	det
17	equipo	NOUN	17	nsubj
18	necesita	VERB	20	advcl
19	reaccionar	VERB	17	xcomp
20	lo	PRON	20	obj
21	hace	VERB	10	advcl
22	en	ADP	23	case
23	el	DET	23	det
24	momento	NOUN	20	obl
25	oportuno	ADJ	23	amod
26	"	PUNCT	2	punct
27	,	PUNCT	2	punct
28	explicó	VERB	0	root
29	Torre	PROPN	27	nsubj
30	.	PUNCT	27	punct