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: Snížení počtu pracovníků v únoru až dubnu proti lednu očekávají firmy s téměř 34 procenty pracovníků všech průmyslových podniků, které odpověděly v posledním konjunkturálním průzkumu Českého statistického úřadu.
Position	Tokenization	UPOS	Head	Deprel
1	Snížení	NOUN	10	obj
2	počtu	NOUN	1	nmod
3	pracovníků	NOUN	2	nmod
4	v	ADP	5	case
5	únoru	NOUN	1	nmod
6	až	CCONJ	7	cc
7	dubnu	NOUN	5	conj
8	proti	ADP	9	case
9	lednu	NOUN	1	nmod
10	očekávají	VERB	0	root
11	firmy	NOUN	10	nsubj
12	s	ADP	15	case
13	téměř	ADV	15	advmod:emph
14	34	NUM	15	nummod
15	procenty	NOUN	11	nmod
16	pracovníků	NOUN	15	nmod
17	všech	DET	19	det
18	průmyslových	ADJ	19	amod
19	podniků	NOUN	16	nmod
20	,	PUNCT	22	punct
21	které	DET	22	nsubj
22	odpověděly	VERB	19	acl:relcl
23	v	ADP	26	case
24	posledním	ADJ	26	amod
25	konjunkturálním	ADJ	26	amod
26	průzkumu	NOUN	22	obl
27	Českého	ADJ	29	amod
28	statistického	ADJ	29	amod
29	úřadu	NOUN	26	nmod
30	.	PUNCT	10	punct