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:
Entonces se disiparon todas las dudas, y pudo hacer sin remordimientos lo que la razón le indicó como lo más decente: pasó una esponja sin lágrimas por encima del recuerdo de Florentino Ariza, lo borró por completo, y en el espacio que él ocupaba en su memoria dejó que floreciera una pradera de amapolas.
Postion	Tokenization
1	Entonces
2	se
3	disiparon
4	todas
5	las
6	dudas
7	,
8	y
9	pudo
10	hacer
11	sin
12	remordimientos
13	lo
14	que
15	la
16	razón
17	le
18	indicó
19	como
20	lo
21	más
22	decente
23	:
24	pasó
25	una
26	esponja
27	sin
28	lágrimas
29	por
30	encima
31	del
32	recuerdo
33	de
34	Florentino
35	Ariza
36	,
37	lo
38	borró
39	por
40	completo
41	,
42	y
43	en
44	el
45	espacio
46	que
47	él
48	ocupaba
49	en
50	su
51	memoria
52	dejó
53	que
54	floreciera
55	una
56	pradera
57	de
58	amapolas
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Entonces	ADV	3	advmod
2	se	PRON	3	expl:pv
3	disiparon	VERB	0	root
4	todas	DET	5	det
5	las	DET	6	det
6	dudas	NOUN	3	nsubj
7	,	PUNCT	10	punct
8	y	CCONJ	10	cc
9	pudo	AUX	10	aux
10	hacer	VERB	3	conj
11	sin	ADP	12	case
12	remordimientos	NOUN	10	obl
13	lo	PRON	18	det
14	que	PRON	18	obj
15	la	DET	16	det
16	razón	NOUN	18	nsubj
17	le	PRON	18	obj
18	indicó	VERB	10	ccomp
19	como	SCONJ	22	mark
20	lo	PRON	22	det
21	más	ADV	22	advmod
22	decente	ADJ	18	advmod
23	:	PUNCT	24	punct
24	pasó	VERB	10	advcl
25	una	DET	26	det
26	esponja	NOUN	24	obj
27	sin	ADP	28	case
28	lágrimas	NOUN	24	obl
29	por	ADP	32	case
30	encima	ADV	29	fixed
31	del	ADP	29	fixed
32	recuerdo	NOUN	24	obl
33	de	ADP	34	case
34	Florentino	PROPN	32	nmod
35	Ariza	PROPN	34	flat
36	,	PUNCT	38	punct
37	lo	PRON	38	obj
38	borró	VERB	24	advcl
39	por	ADP	38	advmod
40	completo	NOUN	39	fixed
41	,	PUNCT	38	punct
42	y	CCONJ	52	cc
43	en	ADP	45	case
44	el	DET	45	det
45	espacio	NOUN	52	obl
46	que	PRON	48	obj
47	él	PRON	48	nsubj
48	ocupaba	VERB	45	acl
49	en	ADP	51	case
50	su	DET	51	det
51	memoria	NOUN	48	obl
52	dejó	VERB	24	conj
53	que	SCONJ	54	mark
54	floreciera	VERB	52	ccomp
55	una	DET	56	det
56	pradera	NOUN	54	nsubj
57	de	ADP	58	case
58	amapolas	NOUN	56	nmod
59	.	PUNCT	3	punct