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 niña Julia B. M., de 13 años, resultó muerta, y sus dos compañeros, Mauro G. y Alvaro G., heridos de consideración.
Postion	Tokenization
1	La
2	niña
3	Julia
4	B.
5	M.
6	,
7	de
8	13
9	años
10	,
11	resultó
12	muerta
13	,
14	y
15	sus
16	dos
17	compañeros
18	,
19	Mauro
20	G.
21	y
22	Alvaro
23	G.
24	,
25	heridos
26	de
27	consideración
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	niña	NOUN	11	nsubj
3	Julia	PROPN	2	appos
4	B.	PROPN	3	flat
5	M.	PROPN	3	flat
6	,	PUNCT	9	punct
7	de	ADP	9	case
8	13	NUM	9	nummod
9	años	NOUN	2	nmod
10	,	PUNCT	9	punct
11	resultó	VERB	0	root
12	muerta	ADJ	11	obj
13	,	PUNCT	25	punct
14	y	CCONJ	25	cc
15	sus	DET	17	det
16	dos	NUM	15	nummod
17	compañeros	NOUN	25	obj
18	,	PUNCT	19	punct
19	Mauro	PROPN	17	appos
20	G.	PROPN	19	flat
21	y	CCONJ	22	cc
22	Alvaro	PROPN	19	conj
23	G.	PROPN	22	flat
24	,	PUNCT	19	punct
25	heridos	ADJ	11	conj
26	de	ADP	27	case
27	consideración	NOUN	25	obl
28	.	PUNCT	11	punct