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:
Ukončení druhé vlny kuponové privatizace po skončení čtvrtého kola je podle předsedy Fondu národního majetku (FNM) Romana Češky velmi nepravděpodobné.
Postion	Tokenization
1	Ukončení
2	druhé
3	vlny
4	kuponové
5	privatizace
6	po
7	skončení
8	čtvrtého
9	kola
10	je
11	podle
12	předsedy
13	Fondu
14	národního
15	majetku
16	(
17	FNM
18	)
19	Romana
20	Češky
21	velmi
22	nepravděpodobné
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Ukončení	NOUN	22	nsubj
2	druhé	ADJ	3	amod
3	vlny	NOUN	1	nmod
4	kuponové	ADJ	5	amod
5	privatizace	NOUN	3	nmod
6	po	ADP	7	case
7	skončení	NOUN	1	nmod
8	čtvrtého	ADJ	9	amod
9	kola	NOUN	7	nmod
10	je	AUX	22	cop
11	podle	ADP	12	case
12	předsedy	NOUN	22	obl
13	Fondu	NOUN	12	nmod
14	národního	ADJ	15	amod
15	majetku	NOUN	13	nmod
16	(	PUNCT	17	punct
17	FNM	PROPN	13	appos
18	)	PUNCT	17	punct
19	Romana	PROPN	12	flat
20	Češky	PROPN	12	flat
21	velmi	ADV	22	advmod
22	nepravděpodobné	ADJ	0	root
23	.	PUNCT	22	punct