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:
Tras la violación, la mujer fue a interponer una denuncia en comisaría, "pero como sufría hemorragias y pérdida de conocimiento, la propia policía llamó a una ambulancia y la envió al Hospital La Paz".
Postion	Tokenization
1	Tras
2	la
3	violación
4	,
5	la
6	mujer
7	fue
8	a
9	interponer
10	una
11	denuncia
12	en
13	comisaría
14	,
15	"
16	pero
17	como
18	sufría
19	hemorragias
20	y
21	pérdida
22	de
23	conocimiento
24	,
25	la
26	propia
27	policía
28	llamó
29	a
30	una
31	ambulancia
32	y
33	la
34	envió
35	al
36	Hospital
37	La
38	Paz
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	la	DET	3	det
3	violación	NOUN	9	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	mujer	NOUN	9	nsubj
7	fue	AUX	9	aux
8	a	ADP	9	mark
9	interponer	VERB	0	root
10	una	DET	11	det
11	denuncia	NOUN	9	obj
12	en	ADP	13	case
13	comisaría	NOUN	9	obl
14	,	PUNCT	18	punct
15	"	PUNCT	18	punct
16	pero	CCONJ	18	cc
17	como	SCONJ	18	mark
18	sufría	VERB	9	conj
19	hemorragias	NOUN	18	obj
20	y	CCONJ	21	cc
21	pérdida	NOUN	19	conj
22	de	ADP	23	case
23	conocimiento	NOUN	21	nmod
24	,	PUNCT	18	punct
25	la	DET	27	det
26	propia	DET	25	det
27	policía	NOUN	28	nsubj
28	llamó	VERB	18	advcl
29	a	ADP	31	case
30	una	DET	31	det
31	ambulancia	NOUN	28	obj
32	y	CCONJ	34	cc
33	la	PRON	34	obj
34	envió	VERB	28	conj
35	al	ADP	36	case
36	Hospital	PROPN	34	obl
37	La	DET	38	det
38	Paz	PROPN	36	flat
39	"	PUNCT	9	punct
40	.	PUNCT	9	punct