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:
Na setkání se západními podnikateli jste tento týden prohlásil, že hrubý domácí produkt vzroste letos o 4 až 5 procent, a že inflace na konci století by nemusela přesáhnout tři procenta.
Postion	Tokenization
1	Na
2	setkání
3	se
4	západními
5	podnikateli
6	jste
7	tento
8	týden
9	prohlásil
10	,
11	že
12	hrubý
13	domácí
14	produkt
15	vzroste
16	letos
17	o
18	4
19	až
20	5
21	procent
22	,
23	a
24	že
25	inflace
26	na
27	konci
28	století
29	by
30	nemusela
31	přesáhnout
32	tři
33	procenta
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	setkání	NOUN	9	obl
3	se	ADP	5	case
4	západními	ADJ	5	amod
5	podnikateli	NOUN	2	nmod
6	jste	AUX	9	aux
7	tento	DET	8	det
8	týden	NOUN	9	obl
9	prohlásil	VERB	0	root
10	,	PUNCT	15	punct
11	že	SCONJ	15	mark
12	hrubý	ADJ	14	amod
13	domácí	ADJ	14	amod
14	produkt	NOUN	15	nsubj
15	vzroste	VERB	9	ccomp
16	letos	ADV	15	advmod
17	o	ADP	21	case
18	4	NUM	21	nummod:gov
19	až	CCONJ	20	cc
20	5	NUM	18	conj
21	procent	NOUN	15	obl
22	,	PUNCT	30	punct
23	a	CCONJ	30	cc
24	že	SCONJ	30	mark
25	inflace	NOUN	30	nsubj
26	na	ADP	27	case
27	konci	NOUN	25	nmod
28	století	NOUN	27	nmod
29	by	AUX	30	aux
30	nemusela	VERB	15	conj
31	přesáhnout	VERB	30	xcomp
32	tři	NUM	33	nummod
33	procenta	NOUN	31	obj
34	.	PUNCT	9	punct