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 text: Podle odborníků není příčinou letošního kasovního úspěchu fakt, že by kina navštívilo víc diváků, ale že se do biografu na tentýž film chodí opakovaně.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	odborníků	NOUN	4	obl
3	není	AUX	4	cop
4	příčinou	NOUN	0	root
5	letošního	ADJ	7	amod
6	kasovního	ADJ	7	amod
7	úspěchu	NOUN	4	nmod
8	fakt	NOUN	4	nsubj
9	,	PUNCT	13	punct
10	že	SCONJ	13	mark
11	by	AUX	13	aux
12	kina	NOUN	13	obj
13	navštívilo	VERB	8	acl
14	víc	ADV	13	nsubj
15	diváků	NOUN	14	nmod
16	,	PUNCT	25	punct
17	ale	CCONJ	25	cc
18	že	SCONJ	25	mark
19	se	PRON	25	expl:pass
20	do	ADP	21	case
21	biografu	NOUN	25	obl
22	na	ADP	24	case
23	tentýž	DET	24	det
24	film	NOUN	25	obl
25	chodí	VERB	13	conj
26	opakovaně	ADV	25	advmod
27	.	PUNCT	4	punct