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:
Jordi Jane, de CiU, le preguntó por qué, si la situación era así de simple, rehusó aclararla a Vives.
Postion	Tokenization
1	Jordi
2	Jane
3	,
4	de
5	CiU
6	,
7	le
8	preguntó
9	por
10	qué
11	,
12	si
13	la
14	situación
15	era
16	así
17	de
18	simple
19	,
20	rehusó
21	aclararla
22	aclarar
23	la
24	a
25	Vives
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jordi	PROPN	8	nsubj
2	Jane	PROPN	1	flat
3	,	PUNCT	5	punct
4	de	ADP	5	case
5	CiU	PROPN	1	nmod
6	,	PUNCT	5	punct
7	le	PRON	8	iobj
8	preguntó	VERB	0	root
9	por	ADP	10	case
10	qué	PRON	20	obl
11	,	PUNCT	16	punct
12	si	SCONJ	16	mark
13	la	DET	14	det
14	situación	NOUN	16	nsubj
15	era	AUX	16	cop
16	así	ADV	20	advcl
17	de	ADP	18	case
18	simple	ADJ	16	advmod
19	,	PUNCT	16	punct
20	rehusó	VERB	8	ccomp
21	aclararla	_	None	_
22	aclarar	VERB	20	xcomp
23	la	PRON	21	obj
24	a	ADP	24	case
25	Vives	PROPN	21	obj
26	.	PUNCT	8	punct