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:
Según informaron fuentes de la federación, el incidente se produjo en la madrugada del 31 de mayo, cuando "E. M. M. fue violada analmente por su pareja, que le causó graves y dolorosas lesiones".
Postion	Tokenization
1	Según
2	informaron
3	fuentes
4	de
5	la
6	federación
7	,
8	el
9	incidente
10	se
11	produjo
12	en
13	la
14	madrugada
15	del
16	31
17	de
18	mayo
19	,
20	cuando
21	"
22	E.
23	M.
24	M.
25	fue
26	violada
27	analmente
28	por
29	su
30	pareja
31	,
32	que
33	le
34	causó
35	graves
36	y
37	dolorosas
38	lesiones
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	informaron	VERB	11	advcl
3	fuentes	NOUN	2	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	federación	NOUN	3	nmod
7	,	PUNCT	2	punct
8	el	DET	9	det
9	incidente	NOUN	11	nsubj
10	se	PRON	11	expl:pv
11	produjo	VERB	0	root
12	en	ADP	14	case
13	la	DET	14	det
14	madrugada	NOUN	11	obl
15	del	ADP	16	case
16	31	NUM	14	nmod
17	de	ADP	18	case
18	mayo	NOUN	16	compound
19	,	PUNCT	26	punct
20	cuando	PRON	26	obl
21	"	PUNCT	26	punct
22	E.	PROPN	26	nsubj
23	M.	PROPN	22	flat
24	M.	PROPN	22	flat
25	fue	AUX	26	aux
26	violada	VERB	14	acl
27	analmente	ADV	26	advmod
28	por	ADP	30	case
29	su	DET	30	det
30	pareja	NOUN	26	obj
31	,	PUNCT	34	punct
32	que	PRON	34	nsubj
33	le	PRON	34	obj
34	causó	VERB	30	acl
35	graves	ADJ	38	amod
36	y	CCONJ	37	cc
37	dolorosas	ADJ	35	conj
38	lesiones	NOUN	34	obj
39	"	PUNCT	26	punct
40	.	PUNCT	11	punct