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:
An early September 2003 Newsweek article included a rumor by a Taliban source that at a meeting in April 2003 Bin Laden was planning an "unbelievable" biological attack, the plans for which had suffered a setback upon the arrest of Khalid Shaikh Mohammed ("KSM").
Postion	Tokenization
1	An
2	early
3	September
4	2003
5	Newsweek
6	article
7	included
8	a
9	rumor
10	by
11	a
12	Taliban
13	source
14	that
15	at
16	a
17	meeting
18	in
19	April
20	2003
21	Bin
22	Laden
23	was
24	planning
25	an
26	"
27	unbelievable
28	"
29	biological
30	attack
31	,
32	the
33	plans
34	for
35	which
36	had
37	suffered
38	a
39	setback
40	upon
41	the
42	arrest
43	of
44	Khalid
45	Shaikh
46	Mohammed
47	(
48	"
49	KSM
50	"
51	)
52	.
Position	Tokenization	UPOS	Head	Deprel
1	An	DET	6	det
2	early	ADJ	3	amod
3	September	PROPN	6	compound
4	2003	NUM	3	nummod
5	Newsweek	PROPN	6	compound
6	article	NOUN	7	nsubj
7	included	VERB	0	root
8	a	DET	9	det
9	rumor	NOUN	7	obj
10	by	ADP	13	case
11	a	DET	13	det
12	Taliban	PROPN	13	compound
13	source	NOUN	9	nmod
14	that	SCONJ	24	mark
15	at	ADP	17	case
16	a	DET	17	det
17	meeting	NOUN	24	obl
18	in	ADP	19	case
19	April	PROPN	17	nmod
20	2003	NUM	19	nummod
21	Bin	PROPN	24	nsubj
22	Laden	PROPN	21	flat
23	was	AUX	24	aux
24	planning	VERB	9	acl
25	an	DET	30	det
26	"	PUNCT	30	punct
27	unbelievable	ADJ	30	amod
28	"	PUNCT	30	punct
29	biological	ADJ	30	amod
30	attack	NOUN	24	obj
31	,	PUNCT	30	punct
32	the	DET	33	det
33	plans	NOUN	37	nsubj
34	for	ADP	35	case
35	which	PRON	33	nmod
36	had	AUX	37	aux
37	suffered	VERB	30	acl:relcl
38	a	DET	39	det
39	setback	NOUN	37	obj
40	upon	ADP	42	case
41	the	DET	42	det
42	arrest	NOUN	37	obl
43	of	ADP	44	case
44	Khalid	PROPN	42	nmod
45	Shaikh	PROPN	44	flat
46	Mohammed	PROPN	44	flat
47	(	PUNCT	49	punct
48	"	PUNCT	49	punct
49	KSM	PROPN	44	appos
50	"	PUNCT	49	punct
51	)	PUNCT	49	punct
52	.	PUNCT	7	punct