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: Vzniká tak zároveň přirozená selekce: jestliže dejme tomu čtyři tvůrci nezávisle na sobě projeví zájem o Jiřího Kiliána, potvrzuje se, že jeho jméno je na našem předběžném dramaturgickém "seznamu" zřejmě právem."
Position	Tokenization	UPOS	Head	Deprel
1	Vzniká	VERB	0	root
2	tak	ADV	1	advmod
3	zároveň	ADV	1	advmod
4	přirozená	ADJ	5	amod
5	selekce	NOUN	1	nsubj
6	:	PUNCT	21	punct
7	jestliže	SCONJ	15	mark
8	dejme	VERB	15	advcl
9	tomu	DET	8	obl:arg
10	čtyři	NUM	11	nummod
11	tvůrci	NOUN	15	nsubj
12	nezávisle	ADV	15	advmod
13	na	ADP	14	case
14	sobě	PRON	12	obl
15	projeví	VERB	21	advcl
16	zájem	NOUN	15	obj
17	o	ADP	18	case
18	Jiřího	PROPN	16	nmod
19	Kiliána	PROPN	18	flat
20	,	PUNCT	15	punct
21	potvrzuje	VERB	5	acl
22	se	PRON	21	expl:pass
23	,	PUNCT	27	punct
24	že	SCONJ	27	mark
25	jeho	DET	26	det
26	jméno	NOUN	27	nsubj
27	je	VERB	21	csubj:pass
28	na	ADP	33	case
29	našem	DET	33	det
30	předběžném	ADJ	33	amod
31	dramaturgickém	ADJ	33	amod
32	"	PUNCT	33	punct
33	seznamu	NOUN	27	obl
34	"	PUNCT	33	punct
35	zřejmě	ADV	27	advmod
36	právem	ADV	27	advmod
37	.	PUNCT	1	punct
38	"	PUNCT	1	punct