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 text: Největší nárůst ceny například u hovězího masa předního s kostí proti konci roku 1993 zaznamenali v Severomoravském kraji, a to 48.3 procenta, zatímco v Praze byl tento nárůst pouze 14.4 procenta.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	nárůst	NOUN	15	obj
3	ceny	NOUN	2	nmod
4	například	ADV	7	advmod:emph
5	u	ADP	7	case
6	hovězího	ADJ	7	amod
7	masa	NOUN	3	nmod
8	předního	ADJ	7	amod
9	s	ADP	10	case
10	kostí	NOUN	7	nmod
11	proti	ADP	12	case
12	konci	NOUN	2	nmod
13	roku	NOUN	12	nmod
14	1993	NUM	13	nummod
15	zaznamenali	VERB	0	root
16	v	ADP	18	case
17	Severomoravském	ADJ	18	amod
18	kraji	NOUN	15	obl
19	,	PUNCT	22	punct
20	a	CCONJ	22	cc
21	to	PART	20	fixed
22	48.3	NUM	23	nummod:gov
23	procenta	NOUN	15	iobj
24	,	PUNCT	33	punct
25	zatímco	SCONJ	33	mark
26	v	ADP	27	case
27	Praze	PROPN	33	obl
28	byl	AUX	33	cop
29	tento	DET	30	det
30	nárůst	NOUN	33	nsubj
31	pouze	ADV	32	advmod:emph
32	14.4	NUM	33	nummod:gov
33	procenta	NOUN	15	advcl
34	.	PUNCT	15	punct