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 you keep the cage clean they don't smell and you can buy spray on cleaser for them, just massage it into their coat and groom them.
Postion	Tokenization
1	If
2	you
3	keep
4	the
5	cage
6	clean
7	they
8	don't
9	do
10	n't
11	smell
12	and
13	you
14	can
15	buy
16	spray
17	on
18	cleaser
19	for
20	them
21	,
22	just
23	massage
24	it
25	into
26	their
27	coat
28	and
29	groom
30	them
31	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	keep	VERB	10	advcl
4	the	DET	5	det
5	cage	NOUN	3	obj
6	clean	ADJ	3	xcomp
7	they	PRON	10	nsubj
8	don't	_	None	_
9	do	AUX	10	aux
10	n't	PART	10	advmod
11	smell	VERB	0	root
12	and	CCONJ	14	cc
13	you	PRON	14	nsubj
14	can	AUX	14	aux
15	buy	VERB	10	conj
16	spray	VERB	17	amod
17	on	ADP	15	compound:prt
18	cleaser	NOUN	14	obj
19	for	ADP	19	case
20	them	PRON	14	obl
21	,	PUNCT	14	punct
22	just	ADV	22	advmod
23	massage	VERB	14	parataxis
24	it	PRON	22	obj
25	into	ADP	26	case
26	their	PRON	26	nmod:poss
27	coat	NOUN	22	obl
28	and	CCONJ	28	cc
29	groom	VERB	22	conj
30	them	PRON	28	obj
31	.	PUNCT	10	punct