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:
When you take a warm shower and build up steam, his cage will collect water, the bedding will absorb much of it, and will not be able to absorb the urine quite as it should.
Postion	Tokenization
1	When
2	you
3	take
4	a
5	warm
6	shower
7	and
8	build
9	up
10	steam
11	,
12	his
13	cage
14	will
15	collect
16	water
17	,
18	the
19	bedding
20	will
21	absorb
22	much
23	of
24	it
25	,
26	and
27	will
28	not
29	be
30	able
31	to
32	absorb
33	the
34	urine
35	quite
36	as
37	it
38	should
39	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	3	mark
2	you	PRON	3	nsubj
3	take	VERB	15	advcl
4	a	DET	6	det
5	warm	NOUN	6	compound
6	shower	NOUN	3	obj
7	and	CCONJ	8	cc
8	build	VERB	3	conj
9	up	ADP	8	compound:prt
10	steam	NOUN	8	obj
11	,	PUNCT	15	punct
12	his	PRON	13	nmod:poss
13	cage	NOUN	15	nsubj
14	will	AUX	15	aux
15	collect	VERB	0	root
16	water	NOUN	15	obj
17	,	PUNCT	15	punct
18	the	DET	19	det
19	bedding	NOUN	21	nsubj
20	will	AUX	21	aux
21	absorb	VERB	15	parataxis
22	much	ADJ	21	obj
23	of	ADP	24	case
24	it	PRON	22	obl
25	,	PUNCT	30	punct
26	and	CCONJ	30	cc
27	will	AUX	30	aux
28	not	PART	30	advmod
29	be	AUX	30	cop
30	able	ADJ	21	conj
31	to	PART	32	mark
32	absorb	VERB	30	xcomp
33	the	DET	34	det
34	urine	NOUN	32	obj
35	quite	ADV	38	advmod
36	as	SCONJ	38	mark
37	it	PRON	38	nsubj
38	should	AUX	32	advcl
39	.	PUNCT	15	punct