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: Zdařilé gagy by se daly spočítat na prstech jedné ruky a příliš nepomohou přímočaré a mnohdy jenom samoúčelné narážky na řadu úspěšných amerických snímků - Jurský park, Absolvent, The Doors, Thelma & Louise - nebo filmových žánrů (hongkongské kung-fu, erotické psychothrillery, atd).
Position	Tokenization	UPOS	Head	Deprel
1	Zdařilé	ADJ	2	amod
2	gagy	NOUN	5	nsubj:pass
3	by	AUX	5	aux
4	se	PRON	5	expl:pass
5	daly	VERB	0	root
6	spočítat	VERB	5	xcomp
7	na	ADP	8	case
8	prstech	NOUN	6	obl
9	jedné	NUM	10	nummod
10	ruky	NOUN	8	nmod
11	a	CCONJ	13	cc
12	příliš	ADV	13	advmod
13	nepomohou	VERB	5	conj
14	přímočaré	ADJ	19	amod
15	a	CCONJ	18	cc
16	mnohdy	ADV	18	advmod
17	jenom	PART	18	advmod:emph
18	samoúčelné	ADJ	14	conj
19	narážky	NOUN	13	nsubj
20	na	ADP	21	case
21	řadu	NOUN	19	nmod
22	úspěšných	ADJ	24	amod
23	amerických	ADJ	24	amod
24	snímků	NOUN	21	nmod
25	-	PUNCT	27	punct
26	Jurský	ADJ	27	amod
27	park	NOUN	24	nmod
28	,	PUNCT	29	punct
29	Absolvent	NOUN	27	conj
30	,	PUNCT	31	punct
31	The	ADJ	27	conj
32	Doors	PROPN	31	flat:foreign
33	,	PUNCT	34	punct
34	Thelma	PROPN	27	conj
35	&	PUNCT	34	punct
36	Louise	PROPN	34	flat
37	-	PUNCT	27	punct
38	nebo	CCONJ	40	cc
39	filmových	ADJ	40	amod
40	žánrů	NOUN	24	conj
41	(	PUNCT	43	punct
42	hongkongské	ADJ	43	amod
43	kung	ADJ	40	dep
44	-	PUNCT	43	punct
45	fu	NOUN	43	flat:foreign
46	,	PUNCT	48	punct
47	erotické	ADJ	48	amod
48	psychothrillery	NOUN	43	conj
49	,	PUNCT	48	punct
50	atd	ADV	48	cc
51	)	PUNCT	43	punct
52	.	PUNCT	5	punct