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:
Handwritten notes and files on a laptop seized upon the capture of KSM, Al Qaeda's #3, included a feasible anthrax production plan using a spray dryer and addressed the recruitment of necessary expertise.
Postion	Tokenization
1	Handwritten
2	notes
3	and
4	files
5	on
6	a
7	laptop
8	seized
9	upon
10	the
11	capture
12	of
13	KSM
14	,
15	Al
16	Qaeda's
17	Qaeda
18	's
19	#
20	3
21	,
22	included
23	a
24	feasible
25	anthrax
26	production
27	plan
28	using
29	a
30	spray
31	dryer
32	and
33	addressed
34	the
35	recruitment
36	of
37	necessary
38	expertise
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Handwritten	ADJ	2	amod
2	notes	NOUN	21	nsubj
3	and	CCONJ	4	cc
4	files	NOUN	2	conj
5	on	ADP	7	case
6	a	DET	7	det
7	laptop	NOUN	4	nmod
8	seized	VERB	7	acl
9	upon	ADP	11	case
10	the	DET	11	det
11	capture	NOUN	8	obl
12	of	ADP	13	case
13	KSM	PROPN	11	nmod
14	,	PUNCT	13	punct
15	Al	PROPN	16	compound
16	Qaeda's	_	None	_
17	Qaeda	PROPN	18	nmod:poss
18	's	PART	16	case
19	#	SYM	13	appos
20	3	NUM	18	nummod
21	,	PUNCT	21	punct
22	included	VERB	0	root
23	a	DET	26	det
24	feasible	ADJ	26	amod
25	anthrax	NOUN	25	compound
26	production	NOUN	26	compound
27	plan	NOUN	21	obj
28	using	VERB	26	acl
29	a	DET	30	det
30	spray	NOUN	30	compound
31	dryer	NOUN	27	obj
32	and	CCONJ	32	cc
33	addressed	VERB	21	conj
34	the	DET	34	det
35	recruitment	NOUN	32	obj
36	of	ADP	37	case
37	necessary	ADJ	37	amod
38	expertise	NOUN	34	nmod
39	.	PUNCT	21	punct