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:
Los hechos ocurrieron a las cuatro de la madrugada del domingo, cuando Khammal, que conducía el coche, su madre y tres primas volvían a su domicilio tras asistir a una boda.
Postion	Tokenization
1	Los
2	hechos
3	ocurrieron
4	a
5	las
6	cuatro
7	de
8	la
9	madrugada
10	del
11	domingo
12	,
13	cuando
14	Khammal
15	,
16	que
17	conducía
18	el
19	coche
20	,
21	su
22	madre
23	y
24	tres
25	primas
26	volvían
27	a
28	su
29	domicilio
30	tras
31	asistir
32	a
33	una
34	boda
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	hechos	NOUN	3	nsubj
3	ocurrieron	VERB	0	root
4	a	ADP	6	case
5	las	DET	6	det
6	cuatro	NUM	3	obl
7	de	ADP	9	case
8	la	DET	9	det
9	madrugada	NOUN	6	nmod
10	del	ADP	11	case
11	domingo	NOUN	6	nmod
12	,	PUNCT	26	punct
13	cuando	PRON	26	obl
14	Khammal	PROPN	26	nsubj
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	conducía	VERB	14	acl
18	el	DET	19	det
19	coche	NOUN	17	obj
20	,	PUNCT	22	punct
21	su	DET	22	det
22	madre	NOUN	14	appos
23	y	CCONJ	25	cc
24	tres	NUM	25	nummod
25	primas	NOUN	14	conj
26	volvían	VERB	6	advcl
27	a	ADP	29	case
28	su	DET	29	det
29	domicilio	NOUN	26	obl
30	tras	ADP	31	mark
31	asistir	VERB	26	advcl
32	a	ADP	34	case
33	una	DET	34	det
34	boda	NOUN	31	obl
35	.	PUNCT	3	punct