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 everything is filtered, and you still have this problem - try changing the filter - if it is still there, try doubling up on the filters...
Postion	Tokenization
1	if
2	everything
3	is
4	filtered
5	,
6	and
7	you
8	still
9	have
10	this
11	problem
12	-
13	try
14	changing
15	the
16	filter
17	-
18	if
19	it
20	is
21	still
22	there
23	,
24	try
25	doubling
26	up
27	on
28	the
29	filters
30	...
Position	Tokenization	UPOS	Head	Deprel
1	if	SCONJ	4	mark
2	everything	PRON	4	nsubj:pass
3	is	AUX	4	aux:pass
4	filtered	VERB	13	advcl
5	,	PUNCT	9	punct
6	and	CCONJ	9	cc
7	you	PRON	9	nsubj
8	still	ADV	9	advmod
9	have	VERB	4	conj
10	this	DET	11	det
11	problem	NOUN	9	obj
12	-	PUNCT	13	punct
13	try	VERB	0	root
14	changing	VERB	13	xcomp
15	the	DET	16	det
16	filter	NOUN	14	obj
17	-	PUNCT	13	punct
18	if	SCONJ	22	mark
19	it	PRON	22	nsubj
20	is	AUX	22	cop
21	still	ADV	22	advmod
22	there	ADV	24	advcl
23	,	PUNCT	24	punct
24	try	VERB	13	parataxis
25	doubling	VERB	24	xcomp
26	up	ADP	25	compound:prt
27	on	ADP	29	case
28	the	DET	29	det
29	filters	NOUN	25	obl
30	...	PUNCT	13	punct