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, en declaraciones en los pasillos del Congreso, consideró que las emociones que provoca un asesinato como el de José Luis López de Lacalle deben hacerse compatibles con la inteligencia para intentar llegar a una solución adecuada.
Postion	Tokenization
1	Frutos
2	,
3	en
4	declaraciones
5	en
6	los
7	pasillos
8	del
9	Congreso
10	,
11	consideró
12	que
13	las
14	emociones
15	que
16	provoca
17	un
18	asesinato
19	como
20	el
21	de
22	José
23	Luis
24	López
25	de
26	Lacalle
27	deben
28	hacerse
29	hacer
30	se
31	compatibles
32	con
33	la
34	inteligencia
35	para
36	intentar
37	llegar
38	a
39	una
40	solución
41	adecuada
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Frutos	PROPN	11	nsubj
2	,	PUNCT	4	punct
3	en	ADP	4	case
4	declaraciones	NOUN	11	obl
5	en	ADP	7	case
6	los	DET	7	det
7	pasillos	NOUN	4	nmod
8	del	ADP	9	case
9	Congreso	PROPN	7	nmod
10	,	PUNCT	4	punct
11	consideró	VERB	0	root
12	que	SCONJ	28	mark
13	las	DET	14	det
14	emociones	NOUN	28	nsubj
15	que	PRON	16	obj
16	provoca	VERB	14	acl
17	un	DET	18	det
18	asesinato	NOUN	16	nsubj
19	como	SCONJ	20	mark
20	el	DET	18	det
21	de	ADP	20	case
22	José	PROPN	20	nmod
23	Luis	PROPN	22	flat
24	López	PROPN	22	flat
25	de	ADP	26	case
26	Lacalle	PROPN	22	flat
27	deben	AUX	28	aux
28	hacerse	_	None	_
29	hacer	VERB	11	xcomp
30	se	PRON	28	expl:pv
31	compatibles	ADJ	28	obj
32	con	ADP	33	case
33	la	DET	33	det
34	inteligencia	NOUN	30	nmod
35	para	ADP	35	mark
36	intentar	VERB	28	advcl
37	llegar	VERB	35	xcomp
38	a	ADP	39	case
39	una	DET	39	det
40	solución	NOUN	36	obj
41	adecuada	ADJ	39	amod
42	.	PUNCT	11	punct