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: PSP také zaměstnává mistry uměleckých řemesel, jako jsou restaurátoři, kameníci, truhláři, štukatéři a další specialisté, kteří se tvůrčím způsobem podílejí na obnově historických památek na území hlavního města Prahy, uvedl F. Šimon.
Position	Tokenization	UPOS	Head	Deprel
1	PSP	PROPN	3	nsubj
2	také	ADV	3	advmod
3	zaměstnává	VERB	36	ccomp
4	mistry	NOUN	3	obj
5	uměleckých	ADJ	6	amod
6	řemesel	NOUN	4	nmod
7	,	PUNCT	9	punct
8	jako	SCONJ	9	mark
9	jsou	VERB	4	acl
10	restaurátoři	NOUN	9	nsubj
11	,	PUNCT	12	punct
12	kameníci	NOUN	10	conj
13	,	PUNCT	14	punct
14	truhláři	NOUN	10	conj
15	,	PUNCT	16	punct
16	štukatéři	NOUN	10	conj
17	a	CCONJ	19	cc
18	další	ADJ	19	amod
19	specialisté	NOUN	10	conj
20	,	PUNCT	25	punct
21	kteří	DET	25	nsubj
22	se	PRON	25	expl:pv
23	tvůrčím	ADJ	24	amod
24	způsobem	NOUN	25	obl
25	podílejí	VERB	19	acl:relcl
26	na	ADP	27	case
27	obnově	NOUN	25	obl:arg
28	historických	ADJ	29	amod
29	památek	NOUN	27	nmod
30	na	ADP	31	case
31	území	NOUN	29	nmod
32	hlavního	ADJ	33	amod
33	města	NOUN	31	nmod
34	Prahy	PROPN	33	nmod
35	,	PUNCT	3	punct
36	uvedl	VERB	0	root
37	F	PROPN	36	nsubj
38	.	PUNCT	37	punct
39	Šimon	PROPN	37	flat
40	.	PUNCT	36	punct