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:
Siete personas fallecieron y otras 12 resultaron heridas - - todos de la Compañía Lírica Nacional - - tras volcar el bus.
Postion	Tokenization
1	Siete
2	personas
3	fallecieron
4	y
5	otras
6	12
7	resultaron
8	heridas
9	-
10	-
11	todos
12	de
13	la
14	Compañía
15	Lírica
16	Nacional
17	-
18	-
19	tras
20	volcar
21	el
22	bus
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Siete	NUM	2	nummod
2	personas	NOUN	3	nsubj
3	fallecieron	VERB	0	root
4	y	CCONJ	7	cc
5	otras	PRON	6	nmod
6	12	NUM	7	nsubj
7	resultaron	VERB	3	conj
8	heridas	ADJ	7	obj
9	-	PUNCT	11	punct
10	-	PUNCT	11	punct
11	todos	PRON	3	dep
12	de	ADP	14	case
13	la	DET	14	det
14	Compañía	PROPN	11	nmod
15	Lírica	PROPN	14	flat
16	Nacional	PROPN	14	flat
17	-	PUNCT	11	punct
18	-	PUNCT	11	punct
19	tras	ADP	20	mark
20	volcar	VERB	3	advcl
21	el	DET	22	det
22	bus	NOUN	20	nsubj
23	.	PUNCT	3	punct