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:
Incluso se dice que su señora, Cindy Crowford - guapa, esbeltísima, modelo - es de las que prefieren los encantos del tercer sexo o, cuando menos, sus sugerencias.
Postion	Tokenization
1	Incluso
2	se
3	dice
4	que
5	su
6	señora
7	,
8	Cindy
9	Crowford
10	-
11	guapa
12	,
13	esbeltísima
14	,
15	modelo
16	-
17	es
18	de
19	las
20	que
21	prefieren
22	los
23	encantos
24	del
25	tercer
26	sexo
27	o
28	,
29	cuando
30	menos
31	,
32	sus
33	sugerencias
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Incluso	ADV	3	advmod
2	se	PRON	3	expl:pass
3	dice	VERB	0	root
4	que	SCONJ	17	mark
5	su	DET	6	det
6	señora	NOUN	17	nsubj
7	,	PUNCT	8	punct
8	Cindy	PROPN	6	appos
9	Crowford	PROPN	8	flat
10	-	PUNCT	15	punct
11	guapa	ADJ	15	amod
12	,	PUNCT	11	punct
13	esbeltísima	ADJ	11	amod
14	,	PUNCT	11	punct
15	modelo	NOUN	8	appos
16	-	PUNCT	15	punct
17	es	AUX	3	csubj
18	de	ADP	21	mark
19	las	DET	21	det
20	que	PRON	21	nsubj
21	prefieren	VERB	17	ccomp
22	los	DET	23	det
23	encantos	NOUN	21	obj
24	del	ADP	26	case
25	tercer	ADJ	26	amod
26	sexo	NOUN	23	nmod
27	o	CCONJ	33	cc
28	,	PUNCT	29	punct
29	cuando	ADV	33	advmod
30	menos	ADV	29	fixed
31	,	PUNCT	29	punct
32	sus	DET	33	det
33	sugerencias	NOUN	23	conj
34	.	PUNCT	3	punct