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:
Yes I've had 53 different kinds of rodents and two were dwarf hamsters they flatten into a pancake and slide right through the bars and are able to open the door so yes a plastic cage will be good
Postion	Tokenization
1	Yes
2	I've
3	I
4	've
5	had
6	53
7	different
8	kinds
9	of
10	rodents
11	and
12	two
13	were
14	dwarf
15	hamsters
16	they
17	flatten
18	into
19	a
20	pancake
21	and
22	slide
23	right
24	through
25	the
26	bars
27	and
28	are
29	able
30	to
31	open
32	the
33	door
34	so
35	yes
36	a
37	plastic
38	cage
39	will
40	be
41	good
Position	Tokenization	UPOS	Head	Deprel
1	Yes	INTJ	4	discourse
2	I've	_	None	_
3	I	PRON	4	nsubj
4	've	AUX	4	aux
5	had	VERB	0	root
6	53	NUM	7	nummod
7	different	ADJ	7	amod
8	kinds	NOUN	4	obj
9	of	ADP	9	case
10	rodents	NOUN	7	nmod
11	and	CCONJ	14	cc
12	two	NUM	14	nsubj
13	were	AUX	14	cop
14	dwarf	ADJ	14	amod
15	hamsters	NOUN	4	conj
16	they	PRON	16	nsubj
17	flatten	VERB	4	parataxis
18	into	ADP	19	case
19	a	DET	19	det
20	pancake	NOUN	16	obl
21	and	CCONJ	21	cc
22	slide	VERB	16	conj
23	right	ADV	21	advmod
24	through	ADP	25	case
25	the	DET	25	det
26	bars	NOUN	22	obl
27	and	CCONJ	28	cc
28	are	AUX	28	cop
29	able	ADJ	16	conj
30	to	PART	30	mark
31	open	VERB	28	xcomp
32	the	DET	32	det
33	door	NOUN	30	obj
34	so	ADV	40	advmod
35	yes	INTJ	40	discourse
36	a	DET	37	det
37	plastic	ADJ	37	amod
38	cage	NOUN	40	nsubj
39	will	AUX	40	aux
40	be	AUX	40	cop
41	good	ADJ	4	parataxis