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:
if its from the side i dont have to worry about propping it up, but the snake can still burn itself if it slithers along the side of the tank and i also read that it doesnt distribute heat as well?
Postion	Tokenization
1	if
2	its
3	it
4	s
5	from
6	the
7	side
8	i
9	dont
10	do
11	nt
12	have
13	to
14	worry
15	about
16	propping
17	it
18	up
19	,
20	but
21	the
22	snake
23	can
24	still
25	burn
26	itself
27	if
28	it
29	slithers
30	along
31	the
32	side
33	of
34	the
35	tank
36	and
37	i
38	also
39	read
40	that
41	it
42	doesnt
43	does
44	nt
45	distribute
46	heat
47	as
48	well
49	?
Position	Tokenization	UPOS	Head	Deprel
1	if	SCONJ	6	mark
2	its	_	None	_
3	it	PRON	6	nsubj
4	s	AUX	6	cop
5	from	ADP	6	case
6	the	DET	6	det
7	side	NOUN	10	advcl
8	i	PRON	10	nsubj
9	dont	_	None	_
10	do	AUX	10	aux
11	nt	PART	10	advmod
12	have	VERB	0	root
13	to	PART	12	mark
14	worry	VERB	10	xcomp
15	about	SCONJ	14	mark
16	propping	VERB	12	advcl
17	it	PRON	14	obj
18	up	ADP	14	compound:prt
19	,	PUNCT	23	punct
20	but	CCONJ	23	cc
21	the	DET	20	det
22	snake	NOUN	23	nsubj
23	can	AUX	23	aux
24	still	ADV	23	advmod
25	burn	VERB	10	conj
26	itself	PRON	23	obj
27	if	SCONJ	27	mark
28	it	PRON	27	nsubj
29	slithers	VERB	23	advcl
30	along	ADP	30	case
31	the	DET	30	det
32	side	NOUN	27	obl
33	of	ADP	33	case
34	the	DET	33	det
35	tank	NOUN	30	nmod
36	and	CCONJ	37	cc
37	i	PRON	37	nsubj
38	also	ADV	37	advmod
39	read	VERB	10	conj
40	that	SCONJ	42	mark
41	it	PRON	42	nsubj
42	doesnt	_	None	_
43	does	AUX	42	aux
44	nt	PART	42	advmod
45	distribute	VERB	37	ccomp
46	heat	NOUN	42	obj
47	as	ADV	42	advmod
48	well	ADV	44	fixed
49	?	PUNCT	10	punct