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:
Mientras tanto, queda por saber si Megawati, ahora con más poderes, será capaz de realizar lo que han exigido a Wahid y que por ahora no ha conseguido.
Postion	Tokenization
1	Mientras
2	tanto
3	,
4	queda
5	por
6	saber
7	si
8	Megawati
9	,
10	ahora
11	con
12	más
13	poderes
14	,
15	será
16	capaz
17	de
18	realizar
19	lo
20	que
21	han
22	exigido
23	a
24	Wahid
25	y
26	que
27	por
28	ahora
29	no
30	ha
31	conseguido
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	CCONJ	4	advmod
2	tanto	NOUN	1	fixed
3	,	PUNCT	1	punct
4	queda	VERB	0	root
5	por	ADP	6	mark
6	saber	VERB	4	advcl
7	si	SCONJ	16	mark
8	Megawati	PROPN	16	nsubj
9	,	PUNCT	10	punct
10	ahora	ADV	8	advmod
11	con	ADP	10	case
12	más	ADV	13	advmod
13	poderes	NOUN	10	nmod
14	,	PUNCT	10	punct
15	será	AUX	16	cop
16	capaz	ADJ	4	csubj
17	de	ADP	18	mark
18	realizar	VERB	16	acl
19	lo	PRON	22	det
20	que	PRON	22	obj
21	han	AUX	22	aux
22	exigido	VERB	18	ccomp
23	a	ADP	24	case
24	Wahid	PROPN	22	obj
25	y	CCONJ	31	cc
26	que	PRON	31	obj
27	por	ADP	31	advmod
28	ahora	ADV	27	fixed
29	no	ADV	31	advmod
30	ha	AUX	31	aux
31	conseguido	VERB	22	conj
32	.	PUNCT	4	punct