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:
Más aún, dice la Susi: si la señora Aguirre es tan limpia, que se multe a sí misma por enguarrar Madrid con sus cochambrosas ocurrencias de marmota resentida, estrecha y maniática.
Postion	Tokenization
1	Más
2	aún
3	,
4	dice
5	la
6	Susi
7	:
8	si
9	la
10	señora
11	Aguirre
12	es
13	tan
14	limpia
15	,
16	que
17	se
18	multe
19	a
20	sí
21	misma
22	por
23	enguarrar
24	Madrid
25	con
26	sus
27	cochambrosas
28	ocurrencias
29	de
30	marmota
31	resentida
32	,
33	estrecha
34	y
35	maniática
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	2	advmod
2	aún	ADV	4	advmod
3	,	PUNCT	2	punct
4	dice	VERB	0	root
5	la	DET	6	det
6	Susi	PROPN	4	nsubj
7	:	PUNCT	18	punct
8	si	SCONJ	14	mark
9	la	DET	10	det
10	señora	NOUN	14	nsubj
11	Aguirre	PROPN	10	appos
12	es	AUX	14	cop
13	tan	ADV	14	advmod
14	limpia	ADJ	18	advcl
15	,	PUNCT	14	punct
16	que	SCONJ	18	mark
17	se	PRON	18	obj
18	multe	VERB	4	ccomp
19	a	ADP	20	case
20	sí	PRON	18	obj
21	misma	DET	20	det
22	por	ADP	23	mark
23	enguarrar	VERB	18	advcl
24	Madrid	PROPN	23	obj
25	con	ADP	28	case
26	sus	DET	28	det
27	cochambrosas	ADJ	28	amod
28	ocurrencias	NOUN	23	obl
29	de	ADP	30	case
30	marmota	NOUN	28	nmod
31	resentida	ADJ	33	advmod
32	,	PUNCT	33	punct
33	estrecha	ADJ	30	amod
34	y	CCONJ	35	cc
35	maniática	ADJ	33	conj
36	.	PUNCT	4	punct