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:
Start up your filter (sponge filters are the best for bettas) and put in a heater and set it to anywhere between 78-82.
Postion	Tokenization
1	Start
2	up
3	your
4	filter
5	(
6	sponge
7	filters
8	are
9	the
10	best
11	for
12	bettas
13	)
14	and
15	put
16	in
17	a
18	heater
19	and
20	set
21	it
22	to
23	anywhere
24	between
25	78
26	-
27	82
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Start	VERB	0	root
2	up	ADP	1	compound:prt
3	your	PRON	4	nmod:poss
4	filter	NOUN	1	obj
5	(	PUNCT	10	punct
6	sponge	NOUN	7	compound
7	filters	NOUN	10	nsubj
8	are	AUX	10	cop
9	the	DET	10	det
10	best	ADJ	1	parataxis
11	for	ADP	12	case
12	bettas	NOUN	10	obl
13	)	PUNCT	10	punct
14	and	CCONJ	15	cc
15	put	VERB	1	conj
16	in	ADP	15	compound:prt
17	a	DET	18	det
18	heater	NOUN	15	obj
19	and	CCONJ	20	cc
20	set	VERB	1	conj
21	it	PRON	20	obj
22	to	ADP	23	case
23	anywhere	NOUN	20	obl
24	between	ADP	25	case
25	78	NUM	23	nmod
26	-	SYM	27	case
27	82	NUM	25	nmod
28	.	PUNCT	1	punct