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:
As described in US News, a former reporter from the Kabul Times actually may have met Sufaat, without realizing it, while traveling near Kabul in October 2001, perceiving him as Filipino.
Postion	Tokenization
1	As
2	described
3	in
4	US
5	News
6	,
7	a
8	former
9	reporter
10	from
11	the
12	Kabul
13	Times
14	actually
15	may
16	have
17	met
18	Sufaat
19	,
20	without
21	realizing
22	it
23	,
24	while
25	traveling
26	near
27	Kabul
28	in
29	October
30	2001
31	,
32	perceiving
33	him
34	as
35	Filipino
36	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	2	mark
2	described	VERB	17	advcl
3	in	ADP	5	case
4	US	PROPN	5	compound
5	News	PROPN	2	obl
6	,	PUNCT	17	punct
7	a	DET	9	det
8	former	ADJ	9	amod
9	reporter	NOUN	17	nsubj
10	from	ADP	13	case
11	the	DET	13	det
12	Kabul	PROPN	13	compound
13	Times	PROPN	9	nmod
14	actually	ADV	17	advmod
15	may	AUX	17	aux
16	have	AUX	17	aux
17	met	VERB	0	root
18	Sufaat	PROPN	17	obj
19	,	PUNCT	17	punct
20	without	SCONJ	21	mark
21	realizing	VERB	17	advcl
22	it	PRON	21	obj
23	,	PUNCT	17	punct
24	while	SCONJ	25	mark
25	traveling	VERB	17	advcl
26	near	ADP	27	case
27	Kabul	PROPN	25	obl
28	in	ADP	29	case
29	October	PROPN	25	obl
30	2001	NUM	29	nummod
31	,	PUNCT	17	punct
32	perceiving	VERB	17	advcl
33	him	PRON	32	obj
34	as	ADP	35	case
35	Filipino	ADJ	32	obl
36	.	PUNCT	17	punct