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 noticia, publicada en este periódico, no dice qué fue del libro; lo que sí dice es que el suicida, de 29 años, leyó algunas páginas antes de saltar.
Postion	Tokenization
1	La
2	noticia
3	,
4	publicada
5	en
6	este
7	periódico
8	,
9	no
10	dice
11	qué
12	fue
13	del
14	libro
15	;
16	lo
17	que
18	sí
19	dice
20	es
21	que
22	el
23	suicida
24	,
25	de
26	29
27	años
28	,
29	leyó
30	algunas
31	páginas
32	antes
33	de
34	saltar
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	noticia	NOUN	10	nsubj
3	,	PUNCT	4	punct
4	publicada	ADJ	2	amod
5	en	ADP	7	case
6	este	DET	7	det
7	periódico	NOUN	4	obl
8	,	PUNCT	4	punct
9	no	ADV	10	advmod
10	dice	VERB	0	root
11	qué	PRON	14	nsubj
12	fue	AUX	14	cop
13	del	ADP	14	case
14	libro	NOUN	10	ccomp
15	;	PUNCT	10	punct
16	lo	PRON	19	det
17	que	PRON	19	obj
18	sí	INTJ	19	advcl
19	dice	VERB	20	csubj
20	es	AUX	10	advcl
21	que	SCONJ	29	mark
22	el	DET	23	det
23	suicida	NOUN	29	nsubj
24	,	PUNCT	27	punct
25	de	ADP	27	case
26	29	NUM	27	nummod
27	años	NOUN	23	nmod
28	,	PUNCT	27	punct
29	leyó	VERB	20	ccomp
30	algunas	DET	31	det
31	páginas	NOUN	29	obj
32	antes	ADV	29	advmod
33	de	ADP	34	mark
34	saltar	VERB	32	advcl
35	.	PUNCT	10	punct