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:
Zklamal vás americký prezident Bush, když na summitu v Riu řekl: "Musím bránit nejen životní prostředí, nýbrž i americká pracovní místa"?
Postion	Tokenization
1	Zklamal
2	vás
3	americký
4	prezident
5	Bush
6	,
7	když
8	na
9	summitu
10	v
11	Riu
12	řekl
13	:
14	"
15	Musím
16	bránit
17	nejen
18	životní
19	prostředí
20	,
21	nýbrž
22	i
23	americká
24	pracovní
25	místa
26	"
27	?
Position	Tokenization	UPOS	Head	Deprel
1	Zklamal	VERB	0	root
2	vás	PRON	1	obj
3	americký	ADJ	4	amod
4	prezident	NOUN	1	nsubj
5	Bush	PROPN	4	flat
6	,	PUNCT	12	punct
7	když	SCONJ	12	mark
8	na	ADP	9	case
9	summitu	NOUN	12	obl
10	v	ADP	11	case
11	Riu	PROPN	9	nmod
12	řekl	VERB	1	advcl
13	:	PUNCT	15	punct
14	"	PUNCT	15	punct
15	Musím	VERB	12	ccomp
16	bránit	VERB	15	xcomp
17	nejen	PART	19	advmod:emph
18	životní	ADJ	19	amod
19	prostředí	NOUN	16	obj
20	,	PUNCT	25	punct
21	nýbrž	CCONJ	25	cc
22	i	CCONJ	25	advmod:emph
23	americká	ADJ	25	amod
24	pracovní	ADJ	25	amod
25	místa	NOUN	19	conj
26	"	PUNCT	15	punct
27	?	PUNCT	1	punct