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 en un abrir y cerrar de ojos, sin más aviso, la sanguinaria mujerzuela se dirigió con él a cuestas hacia la ventana y tiró al desdichado a la calle desde el cuarto piso.
Postion	Tokenization
1	Y
2	en
3	un
4	abrir
5	y
6	cerrar
7	de
8	ojos
9	,
10	sin
11	más
12	aviso
13	,
14	la
15	sanguinaria
16	mujerzuela
17	se
18	dirigió
19	con
20	él
21	a
22	cuestas
23	hacia
24	la
25	ventana
26	y
27	tiró
28	al
29	desdichado
30	a
31	la
32	calle
33	desde
34	el
35	cuarto
36	piso
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	18	advmod
2	en	ADP	18	advmod
3	un	DET	2	fixed
4	abrir	NOUN	2	fixed
5	y	CCONJ	2	fixed
6	cerrar	NOUN	2	fixed
7	de	ADP	2	fixed
8	ojos	NOUN	2	fixed
9	,	PUNCT	2	punct
10	sin	ADP	12	case
11	más	ADV	12	advmod
12	aviso	NOUN	18	obl
13	,	PUNCT	12	punct
14	la	DET	16	det
15	sanguinaria	ADJ	16	amod
16	mujerzuela	NOUN	18	nsubj
17	se	PRON	18	expl:pv
18	dirigió	VERB	0	root
19	con	ADP	20	case
20	él	PRON	18	obl
21	a	ADP	20	advmod
22	cuestas	NOUN	21	fixed
23	hacia	ADP	25	case
24	la	DET	25	det
25	ventana	NOUN	18	obl
26	y	CCONJ	27	cc
27	tiró	VERB	18	conj
28	al	ADP	29	case
29	desdichado	NOUN	27	obj
30	a	ADP	32	case
31	la	DET	32	det
32	calle	NOUN	27	obl
33	desde	ADP	36	case
34	el	DET	36	det
35	cuarto	ADJ	36	amod
36	piso	NOUN	27	obl
37	.	PUNCT	18	punct