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:
Avšak: Vzhledem k tomu, že tyto programy budou časově i finančně velmi náročné a kvalita dodávané pitné vody není vždy nejlepší, půjdou domácí úpravny zřejmě ještě dlouho na odbyt.
Postion	Tokenization
1	Avšak
2	:
3	Vzhledem
4	k
5	tomu
6	,
7	že
8	tyto
9	programy
10	budou
11	časově
12	i
13	finančně
14	velmi
15	náročné
16	a
17	kvalita
18	dodávané
19	pitné
20	vody
21	není
22	vždy
23	nejlepší
24	,
25	půjdou
26	domácí
27	úpravny
28	zřejmě
29	ještě
30	dlouho
31	na
32	odbyt
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Avšak	CCONJ	25	dep
2	:	PUNCT	25	punct
3	Vzhledem	ADP	5	case
4	k	ADP	3	fixed
5	tomu	DET	25	obl
6	,	PUNCT	15	punct
7	že	SCONJ	15	mark
8	tyto	DET	9	det
9	programy	NOUN	15	nsubj
10	budou	AUX	15	cop
11	časově	ADV	15	advmod
12	i	CCONJ	13	cc
13	finančně	ADV	11	conj
14	velmi	ADV	15	advmod
15	náročné	ADJ	5	acl
16	a	CCONJ	23	cc
17	kvalita	NOUN	23	nsubj
18	dodávané	ADJ	20	amod
19	pitné	ADJ	20	amod
20	vody	NOUN	17	nmod
21	není	AUX	23	cop
22	vždy	ADV	23	advmod
23	nejlepší	ADJ	15	conj
24	,	PUNCT	15	punct
25	půjdou	VERB	0	root
26	domácí	ADJ	27	amod
27	úpravny	NOUN	25	nsubj
28	zřejmě	ADV	25	advmod
29	ještě	ADV	30	advmod
30	dlouho	ADV	25	advmod
31	na	ADP	32	case
32	odbyt	NOUN	25	obl:arg
33	.	PUNCT	25	punct