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:
Vláda se podle Luxe shodla na podpoře zvýšení druhové diverzity, zvýšení podílu melioračních dřevin, snižování imisní zátěže a podpoře udržení genofondu lesa.
Postion	Tokenization
1	Vláda
2	se
3	podle
4	Luxe
5	shodla
6	na
7	podpoře
8	zvýšení
9	druhové
10	diverzity
11	,
12	zvýšení
13	podílu
14	melioračních
15	dřevin
16	,
17	snižování
18	imisní
19	zátěže
20	a
21	podpoře
22	udržení
23	genofondu
24	lesa
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Vláda	NOUN	5	nsubj
2	se	PRON	5	expl:pv
3	podle	ADP	4	case
4	Luxe	PROPN	5	obl
5	shodla	VERB	0	root
6	na	ADP	7	case
7	podpoře	NOUN	5	obl:arg
8	zvýšení	NOUN	7	nmod
9	druhové	ADJ	10	amod
10	diverzity	NOUN	8	nmod
11	,	PUNCT	12	punct
12	zvýšení	NOUN	8	conj
13	podílu	NOUN	12	nmod
14	melioračních	ADJ	15	amod
15	dřevin	NOUN	13	nmod
16	,	PUNCT	17	punct
17	snižování	NOUN	8	conj
18	imisní	ADJ	19	amod
19	zátěže	NOUN	17	nmod
20	a	CCONJ	21	cc
21	podpoře	NOUN	7	conj
22	udržení	NOUN	21	nmod
23	genofondu	NOUN	22	nmod
24	lesa	NOUN	23	nmod
25	.	PUNCT	5	punct