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:
La mujer asegura que ha cambiado sus hábitos a raíz de la explosión: "Yo bajaba cada día a pasear a los perros y desde entonces voy a otro sitio".
Postion	Tokenization
1	La
2	mujer
3	asegura
4	que
5	ha
6	cambiado
7	sus
8	hábitos
9	a
10	raíz
11	de
12	la
13	explosión
14	:
15	"
16	Yo
17	bajaba
18	cada
19	día
20	a
21	pasear
22	a
23	los
24	perros
25	y
26	desde
27	entonces
28	voy
29	a
30	otro
31	sitio
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	mujer	NOUN	3	nsubj
3	asegura	VERB	0	root
4	que	SCONJ	6	mark
5	ha	AUX	6	aux
6	cambiado	VERB	3	ccomp
7	sus	DET	8	det
8	hábitos	NOUN	6	obj
9	a	ADP	13	case
10	raíz	NOUN	9	fixed
11	de	ADP	9	fixed
12	la	DET	13	det
13	explosión	NOUN	6	obl
14	:	PUNCT	17	punct
15	"	PUNCT	17	punct
16	Yo	PRON	17	nsubj
17	bajaba	VERB	3	advcl
18	cada	DET	19	det
19	día	NOUN	17	obl
20	a	ADP	21	mark
21	pasear	VERB	17	advcl
22	a	ADP	24	case
23	los	DET	24	det
24	perros	NOUN	21	obj
25	y	CCONJ	28	cc
26	desde	ADP	27	case
27	entonces	ADV	28	advmod
28	voy	VERB	17	conj
29	a	ADP	31	case
30	otro	DET	31	det
31	sitio	NOUN	28	obl
32	"	PUNCT	17	punct
33	.	PUNCT	3	punct