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:
De la generación de la Nueva Trova Cubana ha quedado un Silvio Rodríguez "que tiene algo de estrella pop pero que mantiene la dignidad política y el pulso del cantautor".
Postion	Tokenization
1	De
2	la
3	generación
4	de
5	la
6	Nueva
7	Trova
8	Cubana
9	ha
10	quedado
11	un
12	Silvio
13	Rodríguez
14	"
15	que
16	tiene
17	algo
18	de
19	estrella
20	pop
21	pero
22	que
23	mantiene
24	la
25	dignidad
26	política
27	y
28	el
29	pulso
30	del
31	cantautor
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	la	DET	3	det
3	generación	NOUN	10	obl
4	de	ADP	6	case
5	la	DET	6	det
6	Nueva	PROPN	3	nmod
7	Trova	PROPN	6	flat
8	Cubana	PROPN	6	flat
9	ha	AUX	10	aux
10	quedado	VERB	0	root
11	un	DET	12	det
12	Silvio	PROPN	10	nsubj
13	Rodríguez	PROPN	12	flat
14	"	PUNCT	16	punct
15	que	PRON	16	nsubj
16	tiene	VERB	12	acl
17	algo	PRON	16	obj
18	de	ADP	19	case
19	estrella	NOUN	17	nmod
20	pop	ADJ	19	amod
21	pero	CCONJ	23	cc
22	que	PRON	23	nsubj
23	mantiene	VERB	16	conj
24	la	DET	25	det
25	dignidad	NOUN	23	obj
26	política	ADJ	25	amod
27	y	CCONJ	29	cc
28	el	DET	29	det
29	pulso	NOUN	25	conj
30	del	ADP	31	case
31	cantautor	NOUN	25	nmod
32	"	PUNCT	10	punct
33	.	PUNCT	10	punct