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:
I used one of these cages short term for a pet and it wasn't that great to be honest, pretty cheaply made, the door springs are annoying and it doesn't last very well.
Postion	Tokenization
1	I
2	used
3	one
4	of
5	these
6	cages
7	short
8	term
9	for
10	a
11	pet
12	and
13	it
14	wasn't
15	was
16	n't
17	that
18	great
19	to
20	be
21	honest
22	,
23	pretty
24	cheaply
25	made
26	,
27	the
28	door
29	springs
30	are
31	annoying
32	and
33	it
34	doesn't
35	does
36	n't
37	last
38	very
39	well
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	used	VERB	0	root
3	one	NUM	2	obj
4	of	ADP	6	case
5	these	DET	6	det
6	cages	NOUN	3	nmod
7	short	ADJ	8	amod
8	term	NOUN	2	obl:npmod
9	for	ADP	11	case
10	a	DET	11	det
11	pet	NOUN	2	obl
12	and	CCONJ	17	cc
13	it	PRON	17	nsubj
14	wasn't	_	None	_
15	was	AUX	17	cop
16	n't	PART	17	advmod
17	that	ADV	17	advmod
18	great	ADJ	2	conj
19	to	PART	20	mark
20	be	AUX	20	cop
21	honest	ADJ	17	advcl
22	,	PUNCT	2	punct
23	pretty	ADV	23	advmod
24	cheaply	ADV	24	advmod
25	made	VERB	2	parataxis
26	,	PUNCT	30	punct
27	the	DET	28	det
28	door	NOUN	28	compound
29	springs	NOUN	30	nsubj
30	are	AUX	30	cop
31	annoying	ADJ	24	conj
32	and	CCONJ	35	cc
33	it	PRON	35	nsubj
34	doesn't	_	None	_
35	does	AUX	35	aux
36	n't	PART	35	advmod
37	last	VERB	24	conj
38	very	ADV	37	advmod
39	well	ADV	35	advmod
40	.	PUNCT	2	punct