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:
Hay que conservar un fondo de espontánea brutalidad infantil para disfrutar a lo largo de tantas páginas de estos veniales linchamientos, y tal fondo suele faltar hoy a los aficionados a la literatura clásica.
Postion	Tokenization
1	Hay
2	que
3	conservar
4	un
5	fondo
6	de
7	espontánea
8	brutalidad
9	infantil
10	para
11	disfrutar
12	a
13	lo
14	largo
15	de
16	tantas
17	páginas
18	de
19	estos
20	veniales
21	linchamientos
22	,
23	y
24	tal
25	fondo
26	suele
27	faltar
28	hoy
29	a
30	los
31	aficionados
32	a
33	la
34	literatura
35	clásica
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Hay	AUX	0	root
2	que	SCONJ	3	cc
3	conservar	VERB	1	conj
4	un	DET	5	det
5	fondo	NOUN	3	obj
6	de	ADP	8	case
7	espontánea	ADJ	8	amod
8	brutalidad	NOUN	5	nmod
9	infantil	ADJ	8	amod
10	para	ADP	11	mark
11	disfrutar	VERB	3	advcl
12	a	ADP	17	case
13	lo	PRON	12	fixed
14	largo	NOUN	12	fixed
15	de	ADP	12	fixed
16	tantas	DET	17	det
17	páginas	NOUN	11	obl
18	de	ADP	21	case
19	estos	DET	21	det
20	veniales	ADJ	21	amod
21	linchamientos	NOUN	11	obj
22	,	PUNCT	26	punct
23	y	CCONJ	26	cc
24	tal	DET	25	det
25	fondo	NOUN	26	nsubj
26	suele	VERB	1	conj
27	faltar	VERB	26	xcomp
28	hoy	ADV	26	advmod
29	a	ADP	31	case
30	los	DET	31	det
31	aficionados	NOUN	27	obj
32	a	ADP	34	case
33	la	DET	34	det
34	literatura	NOUN	31	nmod
35	clásica	ADJ	34	amod
36	.	PUNCT	1	punct