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:
Zaměstnavatelé tvrdí, že zvýšení mezd a zkrácení pracovní doby na 35 hodin, které letos vstupuje v platnost, dále zhorší konkurenční schopnost jejich výrobků.
Postion	Tokenization
1	Zaměstnavatelé
2	tvrdí
3	,
4	že
5	zvýšení
6	mezd
7	a
8	zkrácení
9	pracovní
10	doby
11	na
12	35
13	hodin
14	,
15	které
16	letos
17	vstupuje
18	v
19	platnost
20	,
21	dále
22	zhorší
23	konkurenční
24	schopnost
25	jejich
26	výrobků
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zaměstnavatelé	NOUN	2	nsubj
2	tvrdí	VERB	0	root
3	,	PUNCT	22	punct
4	že	SCONJ	22	mark
5	zvýšení	NOUN	22	nsubj
6	mezd	NOUN	5	nmod
7	a	CCONJ	8	cc
8	zkrácení	NOUN	5	conj
9	pracovní	ADJ	10	amod
10	doby	NOUN	8	nmod
11	na	ADP	13	case
12	35	NUM	13	nummod:gov
13	hodin	NOUN	8	nmod
14	,	PUNCT	17	punct
15	které	DET	17	nsubj
16	letos	ADV	17	advmod
17	vstupuje	VERB	8	acl:relcl
18	v	ADP	19	case
19	platnost	NOUN	17	obl:arg
20	,	PUNCT	17	punct
21	dále	ADV	22	advmod
22	zhorší	VERB	2	ccomp
23	konkurenční	ADJ	24	amod
24	schopnost	NOUN	22	obj
25	jejich	DET	26	det
26	výrobků	NOUN	24	nmod
27	.	PUNCT	2	punct