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:
Profesor Weizsäcker v tomto kontextu prohlásil, že pokud by se německá míra spotřeby měla stát normou celosvětovou, tak je boj o ochranu životního prostředí už prohraný.
Postion	Tokenization
1	Profesor
2	Weizsäcker
3	v
4	tomto
5	kontextu
6	prohlásil
7	,
8	že
9	pokud
10	by
11	se
12	německá
13	míra
14	spotřeby
15	měla
16	stát
17	normou
18	celosvětovou
19	,
20	tak
21	je
22	boj
23	o
24	ochranu
25	životního
26	prostředí
27	už
28	prohraný
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Profesor	NOUN	6	nsubj
2	Weizsäcker	PROPN	1	flat
3	v	ADP	5	case
4	tomto	DET	5	det
5	kontextu	NOUN	6	obl
6	prohlásil	VERB	0	root
7	,	PUNCT	28	punct
8	že	SCONJ	28	mark
9	pokud	SCONJ	15	mark
10	by	AUX	15	aux
11	se	PRON	16	expl:pv
12	německá	ADJ	13	amod
13	míra	NOUN	15	nsubj
14	spotřeby	NOUN	13	nmod
15	měla	VERB	28	advcl
16	stát	VERB	15	xcomp
17	normou	NOUN	16	obl:arg
18	celosvětovou	ADJ	17	amod
19	,	PUNCT	15	punct
20	tak	ADV	28	discourse
21	je	AUX	28	cop
22	boj	NOUN	28	nsubj
23	o	ADP	24	case
24	ochranu	NOUN	22	nmod
25	životního	ADJ	26	amod
26	prostředí	NOUN	24	nmod
27	už	ADV	28	advmod
28	prohraný	ADJ	6	ccomp
29	.	PUNCT	6	punct