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:
from my understanding, if its heated from the bottom, my snake risks burning its belly if it burrows and rests directly on top of the glass over the heater unless i buy some of that reptile carpet to put under the substrate, but it has better heat distribution
Postion	Tokenization
1	from
2	my
3	understanding
4	,
5	if
6	its
7	it
8	s
9	heated
10	from
11	the
12	bottom
13	,
14	my
15	snake
16	risks
17	burning
18	its
19	belly
20	if
21	it
22	burrows
23	and
24	rests
25	directly
26	on
27	top
28	of
29	the
30	glass
31	over
32	the
33	heater
34	unless
35	i
36	buy
37	some
38	of
39	that
40	reptile
41	carpet
42	to
43	put
44	under
45	the
46	substrate
47	,
48	but
49	it
50	has
51	better
52	heat
53	distribution
Position	Tokenization	UPOS	Head	Deprel
1	from	ADP	3	case
2	my	PRON	3	nmod:poss
3	understanding	NOUN	15	obl
4	,	PUNCT	15	punct
5	if	SCONJ	8	mark
6	its	_	None	_
7	it	PRON	8	nsubj:pass
8	s	AUX	8	aux:pass
9	heated	VERB	15	advcl
10	from	ADP	11	case
11	the	DET	11	det
12	bottom	NOUN	8	obl
13	,	PUNCT	15	punct
14	my	PRON	14	nmod:poss
15	snake	NOUN	15	nsubj
16	risks	VERB	0	root
17	burning	VERB	15	xcomp
18	its	PRON	18	nmod:poss
19	belly	NOUN	16	obj
20	if	SCONJ	21	mark
21	it	PRON	21	nsubj
22	burrows	VERB	15	advcl
23	and	CCONJ	23	cc
24	rests	VERB	21	conj
25	directly	ADV	23	advmod
26	on	ADP	26	case
27	top	NOUN	23	obl
28	of	ADP	29	case
29	the	DET	29	det
30	glass	NOUN	26	nmod
31	over	ADP	32	case
32	the	DET	32	det
33	heater	NOUN	29	nmod
34	unless	SCONJ	35	mark
35	i	PRON	35	nsubj
36	buy	VERB	15	advcl
37	some	DET	35	obj
38	of	ADP	40	case
39	that	DET	40	det
40	reptile	NOUN	40	compound
41	carpet	NOUN	36	nmod
42	to	PART	42	mark
43	put	VERB	35	advcl
44	under	ADP	45	case
45	the	DET	45	det
46	substrate	NOUN	42	obl
47	,	PUNCT	49	punct
48	but	CCONJ	49	cc
49	it	PRON	49	nsubj
50	has	VERB	35	conj
51	better	ADJ	52	amod
52	heat	NOUN	52	compound
53	distribution	NOUN	49	obj