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 space is minimal, or you are keeping him in there to be kept away from other pets, then I can understand why you would choose to keep him there.
Postion	Tokenization
1	If
2	space
3	is
4	minimal
5	,
6	or
7	you
8	are
9	keeping
10	him
11	in
12	there
13	to
14	be
15	kept
16	away
17	from
18	other
19	pets
20	,
21	then
22	I
23	can
24	understand
25	why
26	you
27	would
28	choose
29	to
30	keep
31	him
32	there
33	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	space	NOUN	4	nsubj
3	is	AUX	4	cop
4	minimal	ADJ	24	advcl
5	,	PUNCT	9	punct
6	or	CCONJ	9	cc
7	you	PRON	9	nsubj
8	are	AUX	9	aux
9	keeping	VERB	4	conj
10	him	PRON	9	obj
11	in	ADP	12	case
12	there	ADV	9	obl
13	to	PART	15	mark
14	be	AUX	15	aux:pass
15	kept	VERB	9	advcl
16	away	ADV	15	advmod
17	from	ADP	19	case
18	other	ADJ	19	amod
19	pets	NOUN	16	obl
20	,	PUNCT	24	punct
21	then	ADV	24	advmod
22	I	PRON	24	nsubj
23	can	AUX	24	aux
24	understand	VERB	0	root
25	why	SCONJ	28	mark
26	you	PRON	28	nsubj
27	would	AUX	28	aux
28	choose	VERB	24	advcl
29	to	PART	30	mark
30	keep	VERB	28	xcomp
31	him	PRON	30	obj
32	there	ADV	30	xcomp
33	.	PUNCT	24	punct