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:
Let me try to break this down as simply as I can: diurnal (active during the day time) reptiles like the bearded dragon require 3 types of "light," UVA, UVB, and heat.
Postion	Tokenization
1	Let
2	me
3	try
4	to
5	break
6	this
7	down
8	as
9	simply
10	as
11	I
12	can
13	:
14	diurnal
15	(
16	active
17	during
18	the
19	day
20	time
21	)
22	reptiles
23	like
24	the
25	bearded
26	dragon
27	require
28	3
29	types
30	of
31	"
32	light
33	,
34	"
35	UVA
36	,
37	UVB
38	,
39	and
40	heat
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Let	VERB	0	root
2	me	PRON	1	obj
3	try	VERB	1	xcomp
4	to	PART	5	mark
5	break	VERB	3	xcomp
6	this	PRON	5	obj
7	down	ADP	5	compound:prt
8	as	ADV	9	advmod
9	simply	ADV	5	advmod
10	as	SCONJ	12	mark
11	I	PRON	12	nsubj
12	can	AUX	8	advcl
13	:	PUNCT	1	punct
14	diurnal	ADJ	22	amod
15	(	PUNCT	16	punct
16	active	ADJ	14	appos
17	during	ADP	20	case
18	the	DET	20	det
19	day	NOUN	20	compound
20	time	NOUN	16	obl
21	)	PUNCT	16	punct
22	reptiles	NOUN	27	nsubj
23	like	ADP	26	case
24	the	DET	26	det
25	bearded	ADJ	26	amod
26	dragon	NOUN	22	nmod
27	require	VERB	1	parataxis
28	3	NUM	29	nummod
29	types	NOUN	27	obj
30	of	ADP	32	case
31	"	PUNCT	32	punct
32	light	NOUN	29	nmod
33	,	PUNCT	29	punct
34	"	PUNCT	29	punct
35	UVA	NOUN	29	appos
36	,	PUNCT	37	punct
37	UVB	NOUN	35	conj
38	,	PUNCT	40	punct
39	and	CCONJ	40	cc
40	heat	NOUN	35	conj
41	.	PUNCT	1	punct