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:
Lesní závod Horní Maršov zaměstnává při zalesňování Krkonoš vedle Ukrajinců také téměř třicet dělníků z východního Slovenska, kde podobná práce buď chybí, nebo je hůř placená než v Čechách.
Postion	Tokenization
1	Lesní
2	závod
3	Horní
4	Maršov
5	zaměstnává
6	při
7	zalesňování
8	Krkonoš
9	vedle
10	Ukrajinců
11	také
12	téměř
13	třicet
14	dělníků
15	z
16	východního
17	Slovenska
18	,
19	kde
20	podobná
21	práce
22	buď
23	chybí
24	,
25	nebo
26	je
27	hůř
28	placená
29	než
30	v
31	Čechách
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Lesní	ADJ	2	amod
2	závod	NOUN	5	nsubj
3	Horní	ADJ	4	amod
4	Maršov	PROPN	2	nmod
5	zaměstnává	VERB	0	root
6	při	ADP	7	case
7	zalesňování	NOUN	5	obl
8	Krkonoš	PROPN	7	nmod
9	vedle	ADP	10	case
10	Ukrajinců	PROPN	5	obl
11	také	ADV	13	advmod:emph
12	téměř	ADV	13	advmod:emph
13	třicet	NUM	14	nummod:gov
14	dělníků	NOUN	5	obj
15	z	ADP	17	case
16	východního	ADJ	17	amod
17	Slovenska	PROPN	14	nmod
18	,	PUNCT	23	punct
19	kde	ADV	23	advmod
20	podobná	ADJ	21	amod
21	práce	NOUN	23	nsubj
22	buď	CCONJ	23	cc
23	chybí	VERB	17	acl:relcl
24	,	PUNCT	28	punct
25	nebo	CCONJ	28	cc
26	je	AUX	28	cop
27	hůř	ADV	28	advmod
28	placená	ADJ	23	conj
29	než	SCONJ	31	mark
30	v	ADP	31	case
31	Čechách	PROPN	27	dep
32	.	PUNCT	5	punct