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:
Ayer se hizo pública la lista de los muertos; la víctima más joven es una chica de 13 años, que falleció el Lunes por la noche.
Postion	Tokenization
1	Ayer
2	se
3	hizo
4	pública
5	la
6	lista
7	de
8	los
9	muertos
10	;
11	la
12	víctima
13	más
14	joven
15	es
16	una
17	chica
18	de
19	13
20	años
21	,
22	que
23	falleció
24	el
25	Lunes
26	por
27	la
28	noche
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayer	ADV	3	advmod
2	se	PRON	3	expl:pass
3	hizo	VERB	0	root
4	pública	ADJ	3	obj
5	la	DET	6	det
6	lista	NOUN	3	nsubj
7	de	ADP	9	case
8	los	DET	9	det
9	muertos	NOUN	6	nmod
10	;	PUNCT	3	punct
11	la	DET	12	det
12	víctima	NOUN	17	nsubj
13	más	ADV	14	advmod
14	joven	ADJ	12	amod
15	es	AUX	17	cop
16	una	DET	17	det
17	chica	NOUN	3	advcl
18	de	ADP	20	case
19	13	NUM	20	nummod
20	años	NOUN	17	nmod
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	falleció	VERB	17	acl
24	el	DET	25	det
25	Lunes	NOUN	23	obl
26	por	ADP	28	case
27	la	DET	28	det
28	noche	NOUN	25	nmod
29	.	PUNCT	3	punct