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: Vedle toho, že bude dosaženo cíle snížení emisí podstatně levněji, je zajímavé i to, že Úřad pro ochranu životního prostředí nyní odhaduje, že v roce 2000 bude překročeno plánované snížení emisí (16 milionů tun) o celých 6 milionů.
Position	Tokenization	UPOS	Head	Deprel
1	Vedle	ADP	2	case
2	toho	DET	14	obl
3	,	PUNCT	6	punct
4	že	SCONJ	6	mark
5	bude	AUX	6	aux:pass
6	dosaženo	ADJ	2	amod
7	cíle	NOUN	6	obl:arg
8	snížení	NOUN	7	nmod
9	emisí	NOUN	8	nmod
10	podstatně	ADV	11	advmod
11	levněji	ADV	6	advmod
12	,	PUNCT	6	punct
13	je	AUX	14	cop
14	zajímavé	ADJ	0	root
15	i	CCONJ	16	advmod:emph
16	to	DET	14	nsubj
17	,	PUNCT	25	punct
18	že	SCONJ	25	mark
19	Úřad	NOUN	25	nsubj
20	pro	ADP	21	case
21	ochranu	NOUN	19	nmod
22	životního	ADJ	23	amod
23	prostředí	NOUN	21	nmod
24	nyní	ADV	25	advmod
25	odhaduje	VERB	16	acl
26	,	PUNCT	32	punct
27	že	SCONJ	32	mark
28	v	ADP	29	case
29	roce	NOUN	32	obl
30	2000	NUM	29	nummod
31	bude	AUX	32	aux:pass
32	překročeno	ADJ	25	obj
33	plánované	ADJ	34	amod
34	snížení	NOUN	32	nsubj:pass
35	emisí	NOUN	34	nmod
36	(	PUNCT	34	punct
37	16	NUM	38	nummod:gov
38	milionů	NOUN	34	nmod
39	tun	NOUN	38	nmod
40	)	PUNCT	34	punct
41	o	ADP	44	case
42	celých	ADJ	44	amod
43	6	NUM	44	nummod:gov
44	milionů	NOUN	32	obl
45	.	PUNCT	14	punct