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:
ING. PAVEL PETRŮ (49) po prvních třech měsících ve funkci předsedy Českého úřadu bezpečnosti práce považuje za největší problém ve svém oboru současnou legislativu.
Postion	Tokenization
1	ING
2	.
3	PAVEL
4	PETRŮ
5	(
6	49
7	)
8	po
9	prvních
10	třech
11	měsících
12	ve
13	funkci
14	předsedy
15	Českého
16	úřadu
17	bezpečnosti
18	práce
19	považuje
20	za
21	největší
22	problém
23	ve
24	svém
25	oboru
26	současnou
27	legislativu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	ING	NOUN	19	nsubj
2	.	PUNCT	1	punct
3	PAVEL	PROPN	1	flat
4	PETRŮ	PROPN	1	flat
5	(	PUNCT	1	punct
6	49	NUM	1	dep
7	)	PUNCT	1	punct
8	po	ADP	11	case
9	prvních	ADJ	11	amod
10	třech	NUM	11	nummod
11	měsících	NOUN	19	obl
12	ve	ADP	13	case
13	funkci	NOUN	11	nmod
14	předsedy	NOUN	13	nmod
15	Českého	ADJ	16	amod
16	úřadu	NOUN	14	nmod
17	bezpečnosti	NOUN	16	nmod
18	práce	NOUN	17	nmod
19	považuje	VERB	0	root
20	za	ADP	22	case
21	největší	ADJ	22	amod
22	problém	NOUN	19	obl:arg
23	ve	ADP	25	case
24	svém	DET	25	det
25	oboru	NOUN	22	nmod
26	současnou	ADJ	27	amod
27	legislativu	NOUN	19	obj
28	.	PUNCT	19	punct