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:
Sufaat, according to both KSM and Hambali, did not have the virulent US Army Ames strain that would be used.
Postion	Tokenization
1	Sufaat
2	,
3	according
4	to
5	both
6	KSM
7	and
8	Hambali
9	,
10	did
11	not
12	have
13	the
14	virulent
15	US
16	Army
17	Ames
18	strain
19	that
20	would
21	be
22	used
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Sufaat	PROPN	12	nsubj
2	,	PUNCT	12	punct
3	according	VERB	6	case
4	to	ADP	3	fixed
5	both	CCONJ	6	cc:preconj
6	KSM	PROPN	12	obl
7	and	CCONJ	8	cc
8	Hambali	PROPN	6	conj
9	,	PUNCT	12	punct
10	did	AUX	12	aux
11	not	PART	12	advmod
12	have	VERB	0	root
13	the	DET	18	det
14	virulent	ADJ	18	amod
15	US	PROPN	16	compound
16	Army	PROPN	18	compound
17	Ames	PROPN	18	compound
18	strain	NOUN	12	obj
19	that	PRON	22	nsubj:pass
20	would	AUX	22	aux
21	be	AUX	22	aux:pass
22	used	VERB	18	acl:relcl
23	.	PUNCT	12	punct