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:
Ke Klausovu plánu docílit do konce tisíciletí inflace ve výši tří procent Ježek uvedl, že jde o cíl náročný a tři procenta by představovala excelentní výsledek.
Postion	Tokenization
1	Ke
2	Klausovu
3	plánu
4	docílit
5	do
6	konce
7	tisíciletí
8	inflace
9	ve
10	výši
11	tří
12	procent
13	Ježek
14	uvedl
15	,
16	že
17	jde
18	o
19	cíl
20	náročný
21	a
22	tři
23	procenta
24	by
25	představovala
26	excelentní
27	výsledek
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ke	ADP	3	case
2	Klausovu	ADJ	3	amod
3	plánu	NOUN	14	obl
4	docílit	VERB	3	acl
5	do	ADP	6	case
6	konce	NOUN	4	obl
7	tisíciletí	NOUN	6	nmod
8	inflace	NOUN	4	obl:arg
9	ve	ADP	10	case
10	výši	NOUN	8	nmod
11	tří	NUM	12	nummod
12	procent	NOUN	10	nmod
13	Ježek	PROPN	14	nsubj
14	uvedl	VERB	0	root
15	,	PUNCT	17	punct
16	že	SCONJ	17	mark
17	jde	VERB	14	ccomp
18	o	ADP	19	case
19	cíl	NOUN	17	obl:arg
20	náročný	ADJ	19	amod
21	a	CCONJ	25	cc
22	tři	NUM	23	nummod
23	procenta	NOUN	25	nsubj
24	by	AUX	25	aux
25	představovala	VERB	17	conj
26	excelentní	ADJ	27	amod
27	výsledek	NOUN	25	obj
28	.	PUNCT	14	punct