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:
En opinión de la FAAMV, que preside Florentina Alarcón, esta mujer "fue tratada de una forma humillante y se vio obligada a volver a la comisaría y formalizar su denuncia".
Postion	Tokenization
1	En
2	opinión
3	de
4	la
5	FAAMV
6	,
7	que
8	preside
9	Florentina
10	Alarcón
11	,
12	esta
13	mujer
14	"
15	fue
16	tratada
17	de
18	una
19	forma
20	humillante
21	y
22	se
23	vio
24	obligada
25	a
26	volver
27	a
28	la
29	comisaría
30	y
31	formalizar
32	su
33	denuncia
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	opinión	NOUN	16	obl
3	de	ADP	5	case
4	la	DET	5	det
5	FAAMV	PROPN	2	nmod
6	,	PUNCT	8	punct
7	que	PRON	8	obj
8	preside	VERB	5	acl
9	Florentina	PROPN	8	nsubj
10	Alarcón	PROPN	9	flat
11	,	PUNCT	8	punct
12	esta	DET	13	det
13	mujer	NOUN	16	nsubj
14	"	PUNCT	16	punct
15	fue	AUX	16	aux
16	tratada	VERB	0	root
17	de	ADP	19	case
18	una	DET	19	det
19	forma	NOUN	16	obl
20	humillante	ADJ	19	amod
21	y	CCONJ	23	cc
22	se	PRON	23	expl:pv
23	vio	VERB	16	conj
24	obligada	ADJ	23	obj
25	a	ADP	26	mark
26	volver	VERB	24	xcomp
27	a	ADP	29	case
28	la	DET	29	det
29	comisaría	NOUN	26	obl
30	y	CCONJ	31	cc
31	formalizar	VERB	26	conj
32	su	DET	33	det
33	denuncia	NOUN	31	obj
34	"	PUNCT	16	punct
35	.	PUNCT	16	punct