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:
No hay nada nuevo en la noticia ni para Occidente ni para los propios rusos; pero ahora interesa hacer público lo que todo el mundo sabía o intuía.
Postion	Tokenization
1	No
2	hay
3	nada
4	nuevo
5	en
6	la
7	noticia
8	ni
9	para
10	Occidente
11	ni
12	para
13	los
14	propios
15	rusos
16	;
17	pero
18	ahora
19	interesa
20	hacer
21	público
22	lo
23	que
24	todo
25	el
26	mundo
27	sabía
28	o
29	intuía
30	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	hay	AUX	0	root
3	nada	PRON	2	obj
4	nuevo	ADJ	3	amod
5	en	ADP	7	case
6	la	DET	7	det
7	noticia	NOUN	2	obl
8	ni	CCONJ	10	cc
9	para	ADP	10	case
10	Occidente	PROPN	2	obl
11	ni	CCONJ	15	cc
12	para	ADP	15	case
13	los	DET	15	det
14	propios	ADJ	15	amod
15	rusos	NOUN	10	conj
16	;	PUNCT	19	punct
17	pero	CCONJ	19	cc
18	ahora	ADV	19	advmod
19	interesa	VERB	2	conj
20	hacer	VERB	19	csubj
21	público	NOUN	20	iobj
22	lo	PRON	27	det
23	que	PRON	27	obj
24	todo	DET	25	det
25	el	DET	26	det
26	mundo	NOUN	27	nsubj
27	sabía	VERB	20	ccomp
28	o	CCONJ	29	cc
29	intuía	VERB	27	conj
30	.	PUNCT	2	punct