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: Příčinnost ve smyslu přírodních věd demonstroval např. před více než 2000 lety starověký matematik Eratosthenés z Kyrény, který působil v alexandrijské knihovně Serapeion jako knihovník.
Position	Tokenization	UPOS	Head	Deprel
1	Příčinnost	NOUN	6	obj
2	ve	ADP	5	case
3	smyslu	NOUN	2	fixed
4	přírodních	ADJ	5	amod
5	věd	NOUN	1	nmod
6	demonstroval	VERB	0	root
7	např	ADV	6	advmod:emph
8	.	PUNCT	7	punct
9	před	ADP	13	case
10	více	ADV	13	advmod
11	než	SCONJ	12	mark
12	2000	NUM	10	obl
13	lety	NOUN	6	obl
14	starověký	ADJ	15	amod
15	matematik	NOUN	6	nsubj
16	Eratosthenés	PROPN	15	flat
17	z	ADP	18	case
18	Kyrény	PROPN	15	nmod
19	,	PUNCT	21	punct
20	který	DET	21	nsubj
21	působil	VERB	15	acl:relcl
22	v	ADP	24	case
23	alexandrijské	ADJ	24	amod
24	knihovně	NOUN	21	obl
25	Serapeion	PROPN	24	nmod
26	jako	SCONJ	27	mark
27	knihovník	NOUN	20	xcomp
28	.	PUNCT	6	punct