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:
By Greendale School, the anthrax perp was being cute, just as Yazid Sufaat was being cute in naming his lab Green Laboratory Medicine.
Postion	Tokenization
1	By
2	Greendale
3	School
4	,
5	the
6	anthrax
7	perp
8	was
9	being
10	cute
11	,
12	just
13	as
14	Yazid
15	Sufaat
16	was
17	being
18	cute
19	in
20	naming
21	his
22	lab
23	Green
24	Laboratory
25	Medicine
26	.
Position	Tokenization	UPOS	Head	Deprel
1	By	ADP	3	case
2	Greendale	PROPN	3	compound
3	School	PROPN	10	obl
4	,	PUNCT	10	punct
5	the	DET	7	det
6	anthrax	NOUN	7	compound
7	perp	NOUN	10	nsubj
8	was	AUX	10	aux
9	being	AUX	10	cop
10	cute	ADJ	0	root
11	,	PUNCT	10	punct
12	just	ADV	18	advmod
13	as	SCONJ	18	mark
14	Yazid	PROPN	18	nsubj
15	Sufaat	PROPN	14	flat
16	was	AUX	18	aux
17	being	AUX	18	cop
18	cute	ADJ	10	advcl
19	in	SCONJ	20	mark
20	naming	VERB	18	advcl
21	his	PRON	22	nmod:poss
22	lab	NOUN	20	obj
23	Green	PROPN	25	compound
24	Laboratory	PROPN	25	compound
25	Medicine	PROPN	20	xcomp
26	.	PUNCT	10	punct