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:
Jelcinovo líčení moskevské politiky posiluje názor, že v Rusku vládne chaos a nekompetentnost a že je to spíše země zmatků než spiknutí, uvádí agentura Reuter.
Postion	Tokenization
1	Jelcinovo
2	líčení
3	moskevské
4	politiky
5	posiluje
6	názor
7	,
8	že
9	v
10	Rusku
11	vládne
12	chaos
13	a
14	nekompetentnost
15	a
16	že
17	je
18	to
19	spíše
20	země
21	zmatků
22	než
23	spiknutí
24	,
25	uvádí
26	agentura
27	Reuter
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jelcinovo	ADJ	2	amod
2	líčení	NOUN	5	nsubj
3	moskevské	ADJ	4	amod
4	politiky	NOUN	2	nmod
5	posiluje	VERB	25	ccomp
6	názor	NOUN	5	obj
7	,	PUNCT	11	punct
8	že	SCONJ	11	mark
9	v	ADP	10	case
10	Rusku	PROPN	11	obl
11	vládne	VERB	6	acl
12	chaos	NOUN	11	nsubj
13	a	CCONJ	14	cc
14	nekompetentnost	NOUN	12	conj
15	a	CCONJ	20	cc
16	že	SCONJ	20	mark
17	je	AUX	20	cop
18	to	DET	20	nsubj
19	spíše	ADV	20	advmod
20	země	NOUN	11	conj
21	zmatků	NOUN	20	nmod
22	než	SCONJ	23	mark
23	spiknutí	NOUN	19	advcl
24	,	PUNCT	5	punct
25	uvádí	VERB	0	root
26	agentura	NOUN	25	nsubj
27	Reuter	PROPN	26	nmod
28	.	PUNCT	25	punct