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:
Frutos ya le ha tratado de convencer de que IU tendría una cara más moderna si prescindiera de esa barba, y todo lo que ha conseguido de Ríos ha sido la respuesta de que por ahora... nada.
Postion	Tokenization
1	Frutos
2	ya
3	le
4	ha
5	tratado
6	de
7	convencer
8	de
9	que
10	IU
11	tendría
12	una
13	cara
14	más
15	moderna
16	si
17	prescindiera
18	de
19	esa
20	barba
21	,
22	y
23	todo
24	lo
25	que
26	ha
27	conseguido
28	de
29	Ríos
30	ha
31	sido
32	la
33	respuesta
34	de
35	que
36	por
37	ahora
38	...
39	nada
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Frutos	PROPN	5	nsubj
2	ya	ADV	5	advmod
3	le	PRON	5	iobj
4	ha	AUX	5	aux
5	tratado	VERB	0	root
6	de	ADP	7	mark
7	convencer	VERB	5	xcomp
8	de	ADP	11	mark
9	que	SCONJ	11	mark
10	IU	PROPN	11	nsubj
11	tendría	VERB	7	ccomp
12	una	DET	13	det
13	cara	NOUN	11	obj
14	más	ADV	15	advmod
15	moderna	ADJ	13	amod
16	si	SCONJ	17	mark
17	prescindiera	VERB	11	advcl
18	de	ADP	20	case
19	esa	DET	20	det
20	barba	NOUN	17	obj
21	,	PUNCT	33	punct
22	y	CCONJ	33	cc
23	todo	DET	24	det
24	lo	PRON	27	det
25	que	PRON	27	obj
26	ha	AUX	27	aux
27	conseguido	VERB	33	csubj
28	de	ADP	29	case
29	Ríos	PROPN	27	obl
30	ha	AUX	33	aux
31	sido	AUX	33	cop
32	la	DET	33	det
33	respuesta	NOUN	5	conj
34	de	ADP	33	nmod
35	que	SCONJ	39	mark
36	por	ADP	39	advmod
37	ahora	ADV	36	fixed
38	...	PUNCT	39	punct
39	nada	PRON	34	obl
40	.	PUNCT	5	punct