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: A tak jsme svědky situací, kdy například poslanec P. Hirš (LSU) chladnokrevně označí po poslední schůzce HZDS a ODS vznik dvou samostatných států za realitu, aby vzápětí předseda unie František Trnka prohlásil postup a výsledky jednání vítězných stran za nelegální.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	4	cc
2	tak	ADV	4	cc
3	jsme	AUX	4	cop
4	svědky	NOUN	0	root
5	situací	NOUN	4	nmod
6	,	PUNCT	17	punct
7	kdy	ADV	17	advmod
8	například	ADV	9	cc
9	poslanec	NOUN	17	nsubj
10	P	PROPN	9	flat
11	.	PUNCT	10	punct
12	Hirš	PROPN	9	flat
13	(	PUNCT	9	punct
14	LSU	PROPN	9	dep
15	)	PUNCT	9	punct
16	chladnokrevně	ADV	17	advmod
17	označí	VERB	5	acl:relcl
18	po	ADP	20	case
19	poslední	ADJ	20	amod
20	schůzce	NOUN	17	obl
21	HZDS	PROPN	20	nmod
22	a	CCONJ	23	cc
23	ODS	PROPN	21	conj
24	vznik	NOUN	17	obj
25	dvou	NUM	27	nummod
26	samostatných	ADJ	27	amod
27	států	NOUN	24	nmod
28	za	ADP	29	case
29	realitu	NOUN	17	obl:arg
30	,	PUNCT	38	punct
31	aby	_	None	_
32	aby	SCONJ	38	mark
33	by	AUX	38	aux
34	vzápětí	ADV	38	advmod
35	předseda	NOUN	38	nsubj
36	unie	NOUN	34	nmod
37	František	PROPN	34	flat
38	Trnka	PROPN	34	flat
39	prohlásil	VERB	17	advcl
40	postup	NOUN	38	obj
41	a	CCONJ	41	cc
42	výsledky	NOUN	39	conj
43	jednání	NOUN	39	nmod
44	vítězných	ADJ	44	amod
45	stran	NOUN	42	nmod
46	za	ADP	46	case
47	nelegální	ADJ	38	obl:arg
48	.	PUNCT	4	punct