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: Snaha předvést jev v nejširších souvislostech je o to oprávněnější, že dosavadní zaručený lék proti nezaměstnanosti- tedy další a rychlejší ekonomický růst- přestává v poslední době právě v nejvyspělejších zemích nápadně často zabírat.
Position	Tokenization	UPOS	Head	Deprel
1	Snaha	NOUN	10	nsubj
2	předvést	VERB	1	acl
3	jev	NOUN	2	obj
4	v	ADP	6	case
5	nejširších	ADJ	6	amod
6	souvislostech	NOUN	2	obl
7	je	AUX	10	cop
8	o	ADP	9	case
9	to	DET	10	obl
10	oprávněnější	ADJ	0	root
11	,	PUNCT	26	punct
12	že	SCONJ	26	mark
13	dosavadní	ADJ	15	amod
14	zaručený	ADJ	15	amod
15	lék	NOUN	26	nsubj
16	proti	ADP	17	case
17	nezaměstnanosti	NOUN	15	nmod
18	-	PUNCT	24	punct
19	tedy	ADV	24	cc
20	další	ADJ	24	amod
21	a	CCONJ	22	cc
22	rychlejší	ADJ	20	conj
23	ekonomický	ADJ	24	amod
24	růst	NOUN	15	appos
25	-	PUNCT	24	punct
26	přestává	VERB	9	acl
27	v	ADP	29	case
28	poslední	ADJ	29	amod
29	době	NOUN	26	obl
30	právě	ADV	33	advmod:emph
31	v	ADP	33	case
32	nejvyspělejších	ADJ	33	amod
33	zemích	NOUN	26	obl
34	nápadně	ADV	35	advmod
35	často	ADV	36	advmod
36	zabírat	VERB	26	xcomp
37	.	PUNCT	10	punct