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 después del reproche, una buena dosis de cariño: un ama de casa impulsiva le planta un sonoro beso en la calva en un mercado del barrio madrileño de Usera.
Postion	Tokenization
1	Y
2	después
3	del
4	reproche
5	,
6	una
7	buena
8	dosis
9	de
10	cariño
11	:
12	un
13	ama
14	de
15	casa
16	impulsiva
17	le
18	planta
19	un
20	sonoro
21	beso
22	en
23	la
24	calva
25	en
26	un
27	mercado
28	del
29	barrio
30	madrileño
31	de
32	Usera
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	8	advmod
2	después	ADV	8	advmod
3	del	ADP	4	case
4	reproche	NOUN	2	obl
5	,	PUNCT	2	punct
6	una	DET	8	det
7	buena	ADJ	8	amod
8	dosis	NOUN	0	root
9	de	ADP	10	case
10	cariño	NOUN	8	nmod
11	:	PUNCT	18	punct
12	un	DET	13	det
13	ama	NOUN	18	nsubj
14	de	ADP	15	case
15	casa	NOUN	13	nmod
16	impulsiva	ADJ	15	amod
17	le	PRON	18	obj
18	planta	VERB	8	acl
19	un	DET	21	det
20	sonoro	ADJ	21	amod
21	beso	NOUN	18	obj
22	en	ADP	24	case
23	la	DET	24	det
24	calva	NOUN	18	obl
25	en	ADP	27	case
26	un	DET	27	det
27	mercado	NOUN	18	obl
28	del	ADP	29	case
29	barrio	NOUN	27	nmod
30	madrileño	ADJ	29	amod
31	de	ADP	32	case
32	Usera	PROPN	29	nmod
33	.	PUNCT	8	punct