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: Ambrozek to uvedl včera v souvislosti s tím, že vláda nejprve vrátila ministrovi životního prostředí Bendovi k přepracování zásady státní politiky životního prostředí pro přílišnou obecnost a nyní mu vrátila návrh zákona o lesích, protože byl zase příliš podrobný.
Position	Tokenization	UPOS	Head	Deprel
1	Ambrozek	PROPN	3	nsubj
2	to	DET	3	obj
3	uvedl	VERB	0	root
4	včera	ADV	3	advmod
5	v	ADP	8	case
6	souvislosti	NOUN	5	fixed
7	s	ADP	5	fixed
8	tím	DET	3	obl
9	,	PUNCT	13	punct
10	že	SCONJ	13	mark
11	vláda	NOUN	13	nsubj
12	nejprve	ADV	13	advmod
13	vrátila	VERB	8	acl
14	ministrovi	NOUN	13	obl:arg
15	životního	ADJ	16	amod
16	prostředí	NOUN	14	nmod
17	Bendovi	PROPN	14	flat
18	k	ADP	19	case
19	přepracování	NOUN	13	obl
20	zásady	NOUN	13	obj
21	státní	ADJ	22	amod
22	politiky	NOUN	20	nmod
23	životního	ADJ	24	amod
24	prostředí	NOUN	22	nmod
25	pro	ADP	27	case
26	přílišnou	ADJ	27	amod
27	obecnost	NOUN	13	obl
28	a	CCONJ	31	cc
29	nyní	ADV	31	advmod
30	mu	PRON	31	obl:arg
31	vrátila	VERB	13	conj
32	návrh	NOUN	31	obj
33	zákona	NOUN	32	nmod
34	o	ADP	35	case
35	lesích	NOUN	33	nmod
36	,	PUNCT	41	punct
37	protože	SCONJ	41	mark
38	byl	AUX	41	cop
39	zase	ADV	41	advmod
40	příliš	ADV	41	advmod
41	podrobný	ADJ	31	advcl
42	.	PUNCT	3	punct