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:
While it's not easy to separate fact from fiction, Attorney General Ashcroft and Director Mueller have publicly confirmed Aafia is still being sought.
Postion	Tokenization
1	While
2	it's
3	it
4	's
5	not
6	easy
7	to
8	separate
9	fact
10	from
11	fiction
12	,
13	Attorney
14	General
15	Ashcroft
16	and
17	Director
18	Mueller
19	have
20	publicly
21	confirmed
22	Aafia
23	is
24	still
25	being
26	sought
27	.
Position	Tokenization	UPOS	Head	Deprel
1	While	SCONJ	5	mark
2	it's	_	None	_
3	it	PRON	5	nsubj
4	's	AUX	5	cop
5	not	PART	5	advmod
6	easy	ADJ	20	advcl
7	to	PART	7	mark
8	separate	VERB	5	ccomp
9	fact	NOUN	7	obj
10	from	ADP	10	case
11	fiction	NOUN	7	obl
12	,	PUNCT	20	punct
13	Attorney	PROPN	14	compound
14	General	PROPN	12	flat
15	Ashcroft	PROPN	20	nsubj
16	and	CCONJ	17	cc
17	Director	PROPN	17	compound
18	Mueller	PROPN	14	conj
19	have	AUX	20	aux
20	publicly	ADV	20	advmod
21	confirmed	VERB	0	root
22	Aafia	PROPN	25	nsubj:pass
23	is	AUX	25	aux
24	still	ADV	25	advmod
25	being	AUX	25	aux:pass
26	sought	VERB	20	ccomp
27	.	PUNCT	20	punct