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:
Ahondar en que la vida no tiene más que una lectura apresurada, breve y caprichosa y que sobre el amor cae una mancha roja y no quedan más paraísos que los de la nostalgia (según escribió Cándido).
Postion	Tokenization
1	Ahondar
2	en
3	que
4	la
5	vida
6	no
7	tiene
8	más
9	que
10	una
11	lectura
12	apresurada
13	,
14	breve
15	y
16	caprichosa
17	y
18	que
19	sobre
20	el
21	amor
22	cae
23	una
24	mancha
25	roja
26	y
27	no
28	quedan
29	más
30	paraísos
31	que
32	los
33	de
34	la
35	nostalgia
36	(
37	según
38	escribió
39	Cándido
40	)
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Ahondar	VERB	0	root
2	en	ADP	7	mark
3	que	SCONJ	7	mark
4	la	DET	5	det
5	vida	NOUN	7	nsubj
6	no	ADV	7	advmod
7	tiene	VERB	1	ccomp
8	más	ADV	11	advmod
9	que	SCONJ	8	fixed
10	una	DET	11	det
11	lectura	NOUN	7	obj
12	apresurada	ADJ	14	advmod
13	,	PUNCT	14	punct
14	breve	ADJ	11	amod
15	y	CCONJ	16	cc
16	caprichosa	ADJ	14	conj
17	y	CCONJ	22	cc
18	que	SCONJ	22	mark
19	sobre	ADP	21	case
20	el	DET	21	det
21	amor	NOUN	22	obl
22	cae	VERB	7	conj
23	una	DET	24	det
24	mancha	NOUN	22	nsubj
25	roja	ADJ	24	amod
26	y	CCONJ	28	cc
27	no	ADV	28	advmod
28	quedan	VERB	22	conj
29	más	ADV	30	advmod
30	paraísos	NOUN	28	nsubj
31	que	SCONJ	32	mark
32	los	DET	28	det
33	de	ADP	32	case
34	la	DET	35	det
35	nostalgia	NOUN	32	obl
36	(	PUNCT	38	punct
37	según	SCONJ	38	mark
38	escribió	VERB	1	advcl
39	Cándido	PROPN	38	nsubj
40	)	PUNCT	38	punct
41	.	PUNCT	1	punct