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:
Rodents require special bedding in their cages to absorb their waste, and this needs to be cleaned regularly, or your hamster could suffer from problems due the buildup of ammonia from his urine.
Postion	Tokenization
1	Rodents
2	require
3	special
4	bedding
5	in
6	their
7	cages
8	to
9	absorb
10	their
11	waste
12	,
13	and
14	this
15	needs
16	to
17	be
18	cleaned
19	regularly
20	,
21	or
22	your
23	hamster
24	could
25	suffer
26	from
27	problems
28	due
29	the
30	buildup
31	of
32	ammonia
33	from
34	his
35	urine
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Rodents	NOUN	2	nsubj
2	require	VERB	0	root
3	special	ADJ	4	amod
4	bedding	NOUN	2	obj
5	in	ADP	7	case
6	their	PRON	7	nmod:poss
7	cages	NOUN	2	obl
8	to	PART	9	mark
9	absorb	VERB	2	advcl
10	their	PRON	11	nmod:poss
11	waste	NOUN	9	obj
12	,	PUNCT	15	punct
13	and	CCONJ	15	cc
14	this	PRON	15	nsubj
15	needs	VERB	2	conj
16	to	PART	18	mark
17	be	AUX	18	aux:pass
18	cleaned	VERB	15	xcomp
19	regularly	ADV	18	advmod
20	,	PUNCT	25	punct
21	or	CCONJ	25	cc
22	your	PRON	23	nmod:poss
23	hamster	NOUN	25	nsubj
24	could	AUX	25	aux
25	suffer	VERB	15	conj
26	from	ADP	27	case
27	problems	NOUN	25	obl
28	due	ADP	30	case
29	the	DET	30	det
30	buildup	NOUN	25	obl
31	of	ADP	32	case
32	ammonia	NOUN	30	nmod
33	from	ADP	35	case
34	his	PRON	35	nmod:poss
35	urine	NOUN	32	nmod
36	.	PUNCT	2	punct