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:
Standardním kapitalismem se nerozumí jeho konkrétní podoby před desítkami či stovkami let, ale právě tato pravidla, jež různí lidé využívají v různých dobách různě.
Postion	Tokenization
1	Standardním
2	kapitalismem
3	se
4	nerozumí
5	jeho
6	konkrétní
7	podoby
8	před
9	desítkami
10	či
11	stovkami
12	let
13	,
14	ale
15	právě
16	tato
17	pravidla
18	,
19	jež
20	různí
21	lidé
22	využívají
23	v
24	různých
25	dobách
26	různě
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Standardním	ADJ	2	amod
2	kapitalismem	NOUN	4	obl:arg
3	se	PRON	4	expl:pass
4	nerozumí	VERB	0	root
5	jeho	DET	7	det
6	konkrétní	ADJ	7	amod
7	podoby	NOUN	4	nsubj:pass
8	před	ADP	9	case
9	desítkami	NOUN	7	nmod
10	či	CCONJ	11	cc
11	stovkami	NOUN	9	conj
12	let	NOUN	9	nmod
13	,	PUNCT	17	punct
14	ale	CCONJ	17	cc
15	právě	ADV	17	advmod:emph
16	tato	DET	17	det
17	pravidla	NOUN	7	conj
18	,	PUNCT	22	punct
19	jež	PRON	22	obj
20	různí	ADJ	21	amod
21	lidé	NOUN	22	nsubj
22	využívají	VERB	17	acl:relcl
23	v	ADP	25	case
24	různých	ADJ	25	amod
25	dobách	NOUN	22	obl
26	různě	ADV	22	advmod
27	.	PUNCT	4	punct