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: Argumenty odvozenými z věcné analýzy tržního procesu, v němž živelnost již střídá seberegulace, usměrňovaná konkurencí i legislativou, je ovšem na sjezdu korigoval předseda Ruského výboru pro kinematografii ArmenMedveděv.
Position	Tokenization	UPOS	Head	Deprel
1	Argumenty	NOUN	25	obl
2	odvozenými	ADJ	1	amod
3	z	ADP	5	case
4	věcné	ADJ	5	amod
5	analýzy	NOUN	2	obl
6	tržního	ADJ	7	amod
7	procesu	NOUN	5	nmod
8	,	PUNCT	13	punct
9	v	ADP	10	case
10	němž	PRON	13	obl
11	živelnost	NOUN	13	obj
12	již	ADV	13	advmod
13	střídá	VERB	7	acl:relcl
14	seberegulace	NOUN	13	nsubj
15	,	PUNCT	16	punct
16	usměrňovaná	ADJ	14	amod
17	konkurencí	NOUN	16	obl
18	i	CCONJ	19	cc
19	legislativou	NOUN	17	conj
20	,	PUNCT	13	punct
21	je	PRON	25	obj
22	ovšem	CCONJ	25	cc
23	na	ADP	24	case
24	sjezdu	NOUN	25	obl
25	korigoval	VERB	0	root
26	předseda	NOUN	25	nsubj
27	Ruského	ADJ	28	amod
28	výboru	NOUN	26	nmod
29	pro	ADP	30	case
30	kinematografii	NOUN	28	nmod
31	Armen	PROPN	26	flat
32	Medveděv	PROPN	26	flat
33	.	PUNCT	25	punct