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:
Tres conciertos singulares en un mismo año han supuesto un reto a la imaginación que Bonet resolvió apelando al oficio, a su exuberancia vocal y a su proverbial sensibilidad transcultural.
Postion	Tokenization
1	Tres
2	conciertos
3	singulares
4	en
5	un
6	mismo
7	año
8	han
9	supuesto
10	un
11	reto
12	a
13	la
14	imaginación
15	que
16	Bonet
17	resolvió
18	apelando
19	al
20	oficio
21	,
22	a
23	su
24	exuberancia
25	vocal
26	y
27	a
28	su
29	proverbial
30	sensibilidad
31	transcultural
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Tres	NUM	2	nummod
2	conciertos	NOUN	9	nsubj
3	singulares	ADJ	2	amod
4	en	ADP	7	case
5	un	DET	7	det
6	mismo	DET	5	det
7	año	NOUN	2	nmod
8	han	AUX	9	aux
9	supuesto	VERB	0	root
10	un	DET	11	det
11	reto	NOUN	9	obj
12	a	ADP	14	case
13	la	DET	14	det
14	imaginación	NOUN	11	nmod
15	que	PRON	17	obj
16	Bonet	PROPN	17	nsubj
17	resolvió	VERB	11	acl
18	apelando	VERB	17	advcl
19	al	ADP	20	case
20	oficio	NOUN	18	obj
21	,	PUNCT	24	punct
22	a	ADP	24	case
23	su	DET	24	det
24	exuberancia	NOUN	20	conj
25	vocal	ADJ	24	amod
26	y	CCONJ	30	cc
27	a	ADP	30	case
28	su	DET	30	det
29	proverbial	ADJ	30	amod
30	sensibilidad	NOUN	20	conj
31	transcultural	ADJ	30	amod
32	.	PUNCT	9	punct