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:
Nabeel Hussain, 21, Waltham Forest Lest you be confused with the suspects from an earlier plot foiled in Canada a few months ago: Fahim Ahmad, 21, Toronto;
Postion	Tokenization
1	Nabeel
2	Hussain
3	,
4	21
5	,
6	Waltham
7	Forest
8	Lest
9	you
10	be
11	confused
12	with
13	the
14	suspects
15	from
16	an
17	earlier
18	plot
19	foiled
20	in
21	Canada
22	a
23	few
24	months
25	ago
26	:
27	Fahim
28	Ahmad
29	,
30	21
31	,
32	Toronto
33	;
Position	Tokenization	UPOS	Head	Deprel
1	Nabeel	PROPN	0	root
2	Hussain	PROPN	1	flat
3	,	PUNCT	1	punct
4	21	NUM	1	list
5	,	PUNCT	1	punct
6	Waltham	PROPN	7	compound
7	Forest	PROPN	1	list
8	Lest	SCONJ	11	mark
9	you	PRON	11	nsubj
10	be	AUX	11	cop
11	confused	ADJ	1	parataxis
12	with	ADP	14	case
13	the	DET	14	det
14	suspects	NOUN	11	obl
15	from	ADP	18	case
16	an	DET	18	det
17	earlier	ADJ	18	amod
18	plot	NOUN	14	nmod
19	foiled	VERB	18	acl
20	in	ADP	21	case
21	Canada	PROPN	19	obl
22	a	DET	24	det
23	few	ADJ	24	amod
24	months	NOUN	25	obl:tmod
25	ago	ADV	19	advmod
26	:	PUNCT	27	punct
27	Fahim	PROPN	1	parataxis
28	Ahmad	PROPN	27	flat
29	,	PUNCT	27	punct
30	21	NUM	27	list
31	,	PUNCT	27	punct
32	Toronto	PROPN	27	list
33	;	PUNCT	1	punct