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:
Místopředsedu federální vlády Miroslava Macka (ODS) kritizoval na včerejší tiskové konferenci LSU poslanec FS Josef Daněk za faktickou likvidaci federálního orgánu pro životní prostředí.
Postion	Tokenization
1	Místopředsedu
2	federální
3	vlády
4	Miroslava
5	Macka
6	(
7	ODS
8	)
9	kritizoval
10	na
11	včerejší
12	tiskové
13	konferenci
14	LSU
15	poslanec
16	FS
17	Josef
18	Daněk
19	za
20	faktickou
21	likvidaci
22	federálního
23	orgánu
24	pro
25	životní
26	prostředí
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Místopředsedu	NOUN	9	obj
2	federální	ADJ	3	amod
3	vlády	NOUN	1	nmod
4	Miroslava	PROPN	1	flat
5	Macka	PROPN	1	flat
6	(	PUNCT	1	punct
7	ODS	PROPN	1	dep
8	)	PUNCT	1	punct
9	kritizoval	VERB	0	root
10	na	ADP	13	case
11	včerejší	ADJ	13	amod
12	tiskové	ADJ	13	amod
13	konferenci	NOUN	9	obl
14	LSU	PROPN	13	nmod
15	poslanec	NOUN	9	nsubj
16	FS	PROPN	15	nmod
17	Josef	PROPN	15	flat
18	Daněk	PROPN	15	flat
19	za	ADP	21	case
20	faktickou	ADJ	21	amod
21	likvidaci	NOUN	9	obl
22	federálního	ADJ	23	amod
23	orgánu	NOUN	21	nmod
24	pro	ADP	26	case
25	životní	ADJ	26	amod
26	prostředí	NOUN	23	nmod
27	.	PUNCT	9	punct