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:
Podle nejnovější studie o této zemi OECD očekává, že růst hrubého domácího produktu dosáhne 1.7 procenta a v příštím roce se zvýší na 2.5 procenta.
Postion	Tokenization
1	Podle
2	nejnovější
3	studie
4	o
5	této
6	zemi
7	OECD
8	očekává
9	,
10	že
11	růst
12	hrubého
13	domácího
14	produktu
15	dosáhne
16	1.7
17	procenta
18	a
19	v
20	příštím
21	roce
22	se
23	zvýší
24	na
25	2.5
26	procenta
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	nejnovější	ADJ	3	amod
3	studie	NOUN	8	obl
4	o	ADP	6	case
5	této	DET	6	det
6	zemi	NOUN	3	nmod
7	OECD	PROPN	8	nsubj
8	očekává	VERB	0	root
9	,	PUNCT	15	punct
10	že	SCONJ	15	mark
11	růst	NOUN	15	nsubj
12	hrubého	ADJ	14	amod
13	domácího	ADJ	14	amod
14	produktu	NOUN	11	nmod
15	dosáhne	VERB	8	ccomp
16	1.7	NUM	17	nummod:gov
17	procenta	NOUN	15	obj
18	a	CCONJ	23	cc
19	v	ADP	21	case
20	příštím	ADJ	21	amod
21	roce	NOUN	23	obl
22	se	PRON	23	expl:pv
23	zvýší	VERB	15	conj
24	na	ADP	26	case
25	2.5	NUM	26	nummod:gov
26	procenta	NOUN	23	obl
27	.	PUNCT	8	punct