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:
KSM explained that Moussaoui's inquiries about crop dusters may have been related to the anthrax work being done by US-trained biochemist and Al Qaeda operative, Malaysian Yazid Sufaat.
Postion	Tokenization
1	KSM
2	explained
3	that
4	Moussaoui's
5	Moussaoui
6	's
7	inquiries
8	about
9	crop
10	dusters
11	may
12	have
13	been
14	related
15	to
16	the
17	anthrax
18	work
19	being
20	done
21	by
22	US
23	-
24	trained
25	biochemist
26	and
27	Al
28	Qaeda
29	operative
30	,
31	Malaysian
32	Yazid
33	Sufaat
34	.
Position	Tokenization	UPOS	Head	Deprel
1	KSM	PROPN	2	nsubj
2	explained	VERB	0	root
3	that	SCONJ	13	mark
4	Moussaoui's	_	None	_
5	Moussaoui	PROPN	6	nmod:poss
6	's	PART	4	case
7	inquiries	NOUN	13	nsubj
8	about	ADP	9	case
9	crop	NOUN	9	compound
10	dusters	NOUN	6	nmod
11	may	AUX	13	aux
12	have	AUX	13	aux
13	been	AUX	13	cop
14	related	ADJ	2	ccomp
15	to	ADP	17	case
16	the	DET	17	det
17	anthrax	NOUN	17	compound
18	work	NOUN	13	obl
19	being	AUX	19	aux:pass
20	done	VERB	17	acl
21	by	ADP	31	case
22	US	PROPN	23	obl:npmod
23	-	PUNCT	23	punct
24	trained	VERB	24	amod
25	biochemist	NOUN	31	compound
26	and	CCONJ	28	cc
27	Al	PROPN	27	compound
28	Qaeda	PROPN	28	compound
29	operative	NOUN	24	conj
30	,	PUNCT	31	punct
31	Malaysian	ADJ	31	amod
32	Yazid	PROPN	19	obl
33	Sufaat	PROPN	31	flat
34	.	PUNCT	2	punct