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 průzkumu veřejného mínění agentur, sdružených v Gallup International, jsou obyvatelé Československa ve svých názorech na příští rok největšími pesimisty v Evropě.
Postion	Tokenization
1	Podle
2	průzkumu
3	veřejného
4	mínění
5	agentur
6	,
7	sdružených
8	v
9	Gallup
10	International
11	,
12	jsou
13	obyvatelé
14	Československa
15	ve
16	svých
17	názorech
18	na
19	příští
20	rok
21	největšími
22	pesimisty
23	v
24	Evropě
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	průzkumu	NOUN	22	obl
3	veřejného	ADJ	4	amod
4	mínění	NOUN	2	nmod
5	agentur	NOUN	2	nmod
6	,	PUNCT	7	punct
7	sdružených	ADJ	5	amod
8	v	ADP	9	case
9	Gallup	PROPN	7	obl
10	International	PROPN	9	flat:foreign
11	,	PUNCT	7	punct
12	jsou	AUX	22	cop
13	obyvatelé	NOUN	22	nsubj
14	Československa	PROPN	13	nmod
15	ve	ADP	17	case
16	svých	DET	17	det
17	názorech	NOUN	22	obl
18	na	ADP	20	case
19	příští	ADJ	20	amod
20	rok	NOUN	17	nmod
21	největšími	ADJ	22	amod
22	pesimisty	NOUN	0	root
23	v	ADP	24	case
24	Evropě	PROPN	21	obl
25	.	PUNCT	22	punct