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 you're going to go through the trouble of creating a sump for this tank, getting a protein skimmer wouldn't be a bad idea.
Postion	Tokenization
1	If
2	you're
3	you
4	're
5	going
6	to
7	go
8	through
9	the
10	trouble
11	of
12	creating
13	a
14	sump
15	for
16	this
17	tank
18	,
19	getting
20	a
21	protein
22	skimmer
23	wouldn't
24	would
25	n't
26	be
27	a
28	bad
29	idea
30	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	you're	_	None	_
3	you	PRON	4	nsubj
4	're	AUX	4	aux
5	going	VERB	27	advcl
6	to	PART	6	mark
7	go	VERB	4	xcomp
8	through	ADP	9	case
9	the	DET	9	det
10	trouble	NOUN	6	obl
11	of	SCONJ	11	mark
12	creating	VERB	9	acl
13	a	DET	13	det
14	sump	NOUN	11	obj
15	for	ADP	16	case
16	this	DET	16	det
17	tank	NOUN	13	nmod
18	,	PUNCT	27	punct
19	getting	VERB	27	csubj
20	a	DET	21	det
21	protein	NOUN	21	compound
22	skimmer	NOUN	18	obj
23	wouldn't	_	None	_
24	would	AUX	27	aux
25	n't	PART	27	advmod
26	be	AUX	27	cop
27	a	DET	27	det
28	bad	ADJ	27	amod
29	idea	NOUN	0	root
30	.	PUNCT	27	punct