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:
Doufám, že členové vlády i poslanci parlamentu budou před rozhodnutím hodnotit vzniklé problémy ze všech hledisek a komplexně ku prospěchu těch, kterých se to týká.
Postion	Tokenization
1	Doufám
2	,
3	že
4	členové
5	vlády
6	i
7	poslanci
8	parlamentu
9	budou
10	před
11	rozhodnutím
12	hodnotit
13	vzniklé
14	problémy
15	ze
16	všech
17	hledisek
18	a
19	komplexně
20	ku
21	prospěchu
22	těch
23	,
24	kterých
25	se
26	to
27	týká
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Doufám	VERB	0	root
2	,	PUNCT	12	punct
3	že	SCONJ	12	mark
4	členové	NOUN	12	nsubj
5	vlády	NOUN	4	nmod
6	i	CCONJ	7	cc
7	poslanci	NOUN	4	conj
8	parlamentu	NOUN	7	nmod
9	budou	AUX	12	aux
10	před	ADP	11	case
11	rozhodnutím	NOUN	12	obl
12	hodnotit	VERB	1	ccomp
13	vzniklé	ADJ	14	amod
14	problémy	NOUN	12	obj
15	ze	ADP	17	case
16	všech	DET	17	det
17	hledisek	NOUN	12	obl
18	a	CCONJ	19	cc
19	komplexně	ADV	17	conj
20	ku	ADP	21	case
21	prospěchu	NOUN	12	obl
22	těch	DET	21	amod
23	,	PUNCT	27	punct
24	kterých	DET	27	obl:arg
25	se	PRON	27	expl:pv
26	to	DET	27	nsubj
27	týká	VERB	22	acl:relcl
28	.	PUNCT	1	punct