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:
Y habrá que reconocer que, si nos dejamos de hipocresías, ésas son las dos cualidades de un buen regalo: que cueste un dineral y que te ponga mucha alegría en el cuerpo.
Postion	Tokenization
1	Y
2	habrá
3	que
4	reconocer
5	que
6	,
7	si
8	nos
9	dejamos
10	de
11	hipocresías
12	,
13	ésas
14	son
15	las
16	dos
17	cualidades
18	de
19	un
20	buen
21	regalo
22	:
23	que
24	cueste
25	un
26	dineral
27	y
28	que
29	te
30	ponga
31	mucha
32	alegría
33	en
34	el
35	cuerpo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	4	advmod
2	habrá	AUX	0	root
3	que	SCONJ	4	cc
4	reconocer	VERB	2	conj
5	que	SCONJ	17	mark
6	,	PUNCT	9	punct
7	si	SCONJ	9	mark
8	nos	PRON	9	obj
9	dejamos	VERB	17	advcl
10	de	ADP	11	case
11	hipocresías	NOUN	9	obj
12	,	PUNCT	9	punct
13	ésas	PRON	17	nsubj
14	son	AUX	17	cop
15	las	DET	17	det
16	dos	NUM	15	nummod
17	cualidades	NOUN	4	ccomp
18	de	ADP	21	case
19	un	DET	21	det
20	buen	ADJ	21	amod
21	regalo	NOUN	17	nmod
22	:	PUNCT	24	punct
23	que	SCONJ	24	mark
24	cueste	VERB	17	acl
25	un	DET	26	det
26	dineral	NOUN	24	obj
27	y	CCONJ	30	cc
28	que	SCONJ	30	mark
29	te	PRON	30	iobj
30	ponga	VERB	24	conj
31	mucha	DET	32	det
32	alegría	NOUN	30	obj
33	en	ADP	35	case
34	el	DET	35	det
35	cuerpo	NOUN	32	nmod
36	.	PUNCT	2	punct