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 Federación de Asociaciones de Asistencia a Mujeres Violadas (FAAMV) acusó ayer al servicio ginecológico de urgencias del Hospital La Paz de Madrid de negarse a atender a una mujer que había sido violada analmente por su pareja.
Postion	Tokenization
1	La
2	Federación
3	de
4	Asociaciones
5	de
6	Asistencia
7	a
8	Mujeres
9	Violadas
10	(
11	FAAMV
12	)
13	acusó
14	ayer
15	al
16	servicio
17	ginecológico
18	de
19	urgencias
20	del
21	Hospital
22	La
23	Paz
24	de
25	Madrid
26	de
27	negarse
28	negar
29	se
30	a
31	atender
32	a
33	una
34	mujer
35	que
36	había
37	sido
38	violada
39	analmente
40	por
41	su
42	pareja
43	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Federación	PROPN	13	nsubj
3	de	ADP	4	case
4	Asociaciones	PROPN	2	flat
5	de	ADP	6	case
6	Asistencia	PROPN	2	flat
7	a	ADP	8	case
8	Mujeres	PROPN	2	flat
9	Violadas	PROPN	8	flat
10	(	PUNCT	11	punct
11	FAAMV	PROPN	2	flat
12	)	PUNCT	11	punct
13	acusó	VERB	0	root
14	ayer	ADV	13	advmod
15	al	ADP	16	case
16	servicio	NOUN	13	iobj
17	ginecológico	ADJ	16	amod
18	de	ADP	19	case
19	urgencias	NOUN	16	nmod
20	del	ADP	21	case
21	Hospital	PROPN	16	nmod
22	La	DET	23	det
23	Paz	PROPN	21	flat
24	de	ADP	25	case
25	Madrid	PROPN	21	nmod
26	de	ADP	27	mark
27	negarse	_	None	_
28	negar	VERB	13	xcomp
29	se	PRON	27	expl:pv
30	a	ADP	30	mark
31	atender	VERB	27	xcomp
32	a	ADP	33	case
33	una	DET	33	det
34	mujer	NOUN	30	obj
35	que	PRON	37	nsubj
36	había	AUX	37	aux
37	sido	AUX	37	aux
38	violada	VERB	33	acl
39	analmente	ADV	37	advmod
40	por	ADP	41	case
41	su	DET	41	det
42	pareja	NOUN	37	obj
43	.	PUNCT	13	punct