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:
Como en otros conciertos del ciclo, no hubo, efectivamente, puentes comunicativos explícitos entre Bonet y Prada, sino sendos monólogos coronados por unos duetos más testimoniales que efectivos.
Postion	Tokenization
1	Como
2	en
3	otros
4	conciertos
5	del
6	ciclo
7	,
8	no
9	hubo
10	,
11	efectivamente
12	,
13	puentes
14	comunicativos
15	explícitos
16	entre
17	Bonet
18	y
19	Prada
20	,
21	sino
22	sendos
23	monólogos
24	coronados
25	por
26	unos
27	duetos
28	más
29	testimoniales
30	que
31	efectivos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	4	mark
2	en	ADP	4	case
3	otros	DET	4	det
4	conciertos	NOUN	9	obl
5	del	ADP	6	case
6	ciclo	NOUN	4	nmod
7	,	PUNCT	4	punct
8	no	ADV	9	advmod
9	hubo	AUX	0	root
10	,	PUNCT	11	punct
11	efectivamente	ADV	9	advmod
12	,	PUNCT	11	punct
13	puentes	NOUN	9	obj
14	comunicativos	ADJ	13	amod
15	explícitos	ADJ	13	amod
16	entre	ADP	17	case
17	Bonet	PROPN	13	nmod
18	y	CCONJ	19	cc
19	Prada	PROPN	17	conj
20	,	PUNCT	23	punct
21	sino	CCONJ	23	cc
22	sendos	DET	23	det
23	monólogos	NOUN	9	conj
24	coronados	ADJ	23	amod
25	por	ADP	27	case
26	unos	DET	27	det
27	duetos	NOUN	24	obj
28	más	ADV	29	advmod
29	testimoniales	ADJ	27	amod
30	que	SCONJ	31	mark
31	efectivos	ADJ	29	advmod
32	.	PUNCT	9	punct