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 have a few questions, first I want to start a sump filter, but I have no idea on how the water intake and water return would work.
Postion	Tokenization
1	I
2	have
3	a
4	few
5	questions
6	,
7	first
8	I
9	want
10	to
11	start
12	a
13	sump
14	filter
15	,
16	but
17	I
18	have
19	no
20	idea
21	on
22	how
23	the
24	water
25	intake
26	and
27	water
28	return
29	would
30	work
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	a	DET	5	det
4	few	ADJ	5	amod
5	questions	NOUN	2	obj
6	,	PUNCT	2	punct
7	first	ADV	2	advmod
8	I	PRON	9	nsubj
9	want	VERB	2	ccomp
10	to	PART	11	mark
11	start	VERB	9	xcomp
12	a	DET	14	det
13	sump	NOUN	14	compound
14	filter	NOUN	11	obj
15	,	PUNCT	18	punct
16	but	CCONJ	18	cc
17	I	PRON	18	nsubj
18	have	VERB	2	conj
19	no	DET	20	det
20	idea	NOUN	18	obj
21	on	SCONJ	30	mark
22	how	SCONJ	30	mark
23	the	DET	25	det
24	water	NOUN	25	compound
25	intake	NOUN	30	nsubj
26	and	CCONJ	28	cc
27	water	NOUN	28	compound
28	return	NOUN	25	conj
29	would	AUX	30	aux
30	work	VERB	20	acl
31	.	PUNCT	2	punct