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:
Entre las muchas lindezas con las que se descolgó el edil, la más comentada fue la prohibición de besos, caricias y arrumacos entre las parejas que circulaban por la vía pública.
Postion	Tokenization
1	Entre
2	las
3	muchas
4	lindezas
5	con
6	las
7	que
8	se
9	descolgó
10	el
11	edil
12	,
13	la
14	más
15	comentada
16	fue
17	la
18	prohibición
19	de
20	besos
21	,
22	caricias
23	y
24	arrumacos
25	entre
26	las
27	parejas
28	que
29	circulaban
30	por
31	la
32	vía
33	pública
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	4	case
2	las	DET	4	det
3	muchas	DET	2	det
4	lindezas	NOUN	18	obl
5	con	ADP	7	case
6	las	DET	7	det
7	que	PRON	9	obl
8	se	PRON	9	expl:pass
9	descolgó	VERB	4	acl
10	el	DET	11	det
11	edil	NOUN	9	nsubj
12	,	PUNCT	4	punct
13	la	DET	15	det
14	más	ADV	15	advmod
15	comentada	ADJ	18	nsubj
16	fue	AUX	18	cop
17	la	DET	18	det
18	prohibición	NOUN	0	root
19	de	ADP	20	case
20	besos	NOUN	18	nmod
21	,	PUNCT	22	punct
22	caricias	NOUN	20	conj
23	y	CCONJ	24	cc
24	arrumacos	NOUN	20	conj
25	entre	ADP	27	case
26	las	DET	27	det
27	parejas	NOUN	18	nmod
28	que	PRON	29	nsubj
29	circulaban	VERB	27	acl
30	por	ADP	32	case
31	la	DET	32	det
32	vía	NOUN	29	obl
33	pública	ADJ	32	amod
34	.	PUNCT	18	punct