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:
V příslušném usnesení, pro které se vyslovila naprostá většina poslanců, duma zároveň vyjádřila připravenost aktivně se zapojit do mírového procesu urovnání čečenského konfliktu.
Postion	Tokenization
1	V
2	příslušném
3	usnesení
4	,
5	pro
6	které
7	se
8	vyslovila
9	naprostá
10	většina
11	poslanců
12	,
13	duma
14	zároveň
15	vyjádřila
16	připravenost
17	aktivně
18	se
19	zapojit
20	do
21	mírového
22	procesu
23	urovnání
24	čečenského
25	konfliktu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	příslušném	ADJ	3	amod
3	usnesení	NOUN	15	obl
4	,	PUNCT	8	punct
5	pro	ADP	6	case
6	které	DET	8	obl:arg
7	se	PRON	8	expl:pv
8	vyslovila	VERB	3	acl:relcl
9	naprostá	ADJ	10	amod
10	většina	NOUN	8	nsubj
11	poslanců	NOUN	10	nmod
12	,	PUNCT	8	punct
13	duma	NOUN	15	nsubj
14	zároveň	ADV	15	advmod
15	vyjádřila	VERB	0	root
16	připravenost	NOUN	15	obj
17	aktivně	ADV	19	advmod
18	se	PRON	19	expl:pv
19	zapojit	VERB	16	acl
20	do	ADP	22	case
21	mírového	ADJ	22	amod
22	procesu	NOUN	19	obl
23	urovnání	NOUN	22	nmod
24	čečenského	ADJ	25	amod
25	konfliktu	NOUN	23	nmod
26	.	PUNCT	15	punct