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:
It has long been known Osama Bin Laden was interested in using cropdusters to disperse biological agents (since the testimony of millennium bomber Ahmed Ressam).
Postion	Tokenization
1	It
2	has
3	long
4	been
5	known
6	Osama
7	Bin
8	Laden
9	was
10	interested
11	in
12	using
13	cropdusters
14	to
15	disperse
16	biological
17	agents
18	(
19	since
20	the
21	testimony
22	of
23	millennium
24	bomber
25	Ahmed
26	Ressam
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	5	nsubj:pass
2	has	AUX	5	aux
3	long	ADV	5	advmod
4	been	AUX	5	aux:pass
5	known	VERB	0	root
6	Osama	PROPN	10	nsubj
7	Bin	PROPN	6	flat
8	Laden	PROPN	6	flat
9	was	AUX	10	cop
10	interested	ADJ	5	ccomp
11	in	SCONJ	12	mark
12	using	VERB	10	advcl
13	cropdusters	NOUN	12	obj
14	to	PART	15	mark
15	disperse	VERB	12	xcomp
16	biological	ADJ	17	amod
17	agents	NOUN	15	obj
18	(	PUNCT	21	punct
19	since	ADP	21	case
20	the	DET	21	det
21	testimony	NOUN	5	obl
22	of	ADP	25	case
23	millennium	NOUN	24	compound
24	bomber	NOUN	25	compound
25	Ahmed	PROPN	21	nmod
26	Ressam	PROPN	25	flat
27	)	PUNCT	21	punct
28	.	PUNCT	5	punct