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:
Podle průzkumů uskutečněných v řadě zemí se většina dentistů domnívá, že při vhodné volbě zaručují žvýkačky ústní hygienu, a proto je jejich vliv spíše pozitivní.
Postion	Tokenization
1	Podle
2	průzkumů
3	uskutečněných
4	v
5	řadě
6	zemí
7	se
8	většina
9	dentistů
10	domnívá
11	,
12	že
13	při
14	vhodné
15	volbě
16	zaručují
17	žvýkačky
18	ústní
19	hygienu
20	,
21	a
22	proto
23	je
24	jejich
25	vliv
26	spíše
27	pozitivní
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	průzkumů	NOUN	10	obl
3	uskutečněných	ADJ	2	amod
4	v	ADP	6	case
5	řadě	NOUN	4	fixed
6	zemí	NOUN	3	obl
7	se	PRON	10	expl:pv
8	většina	NOUN	10	nsubj
9	dentistů	NOUN	8	nmod
10	domnívá	VERB	0	root
11	,	PUNCT	16	punct
12	že	SCONJ	16	mark
13	při	ADP	15	case
14	vhodné	ADJ	15	amod
15	volbě	NOUN	16	obl
16	zaručují	VERB	10	ccomp
17	žvýkačky	NOUN	16	nsubj
18	ústní	ADJ	19	amod
19	hygienu	NOUN	16	obj
20	,	PUNCT	27	punct
21	a	CCONJ	27	cc
22	proto	CCONJ	27	cc
23	je	AUX	27	cop
24	jejich	DET	25	det
25	vliv	NOUN	27	nsubj
26	spíše	ADV	27	advmod
27	pozitivní	ADJ	10	conj
28	.	PUNCT	10	punct