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:
Po výboru pro životní prostředí je ministerstvo práce a sociálních věcí již druhým federálním úřadem, jehož faktický konec ohlásil místopředseda Stráského kabinetu Miroslav Macek.
Postion	Tokenization
1	Po
2	výboru
3	pro
4	životní
5	prostředí
6	je
7	ministerstvo
8	práce
9	a
10	sociálních
11	věcí
12	již
13	druhým
14	federálním
15	úřadem
16	,
17	jehož
18	faktický
19	konec
20	ohlásil
21	místopředseda
22	Stráského
23	kabinetu
24	Miroslav
25	Macek
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	výboru	NOUN	15	obl
3	pro	ADP	5	case
4	životní	ADJ	5	amod
5	prostředí	NOUN	2	nmod
6	je	AUX	15	cop
7	ministerstvo	NOUN	15	nsubj
8	práce	NOUN	7	nmod
9	a	CCONJ	11	cc
10	sociálních	ADJ	11	amod
11	věcí	NOUN	8	conj
12	již	ADV	13	advmod:emph
13	druhým	ADJ	15	amod
14	federálním	ADJ	15	amod
15	úřadem	NOUN	0	root
16	,	PUNCT	20	punct
17	jehož	DET	19	det
18	faktický	ADJ	19	amod
19	konec	NOUN	20	obj
20	ohlásil	VERB	15	acl:relcl
21	místopředseda	NOUN	25	nmod
22	Stráského	ADJ	23	amod
23	kabinetu	NOUN	21	nmod
24	Miroslav	PROPN	25	nmod
25	Macek	NOUN	20	nsubj
26	.	PUNCT	15	punct