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:
Většina přebytečných pracovních sil pod ekonomickým tlakem odešla do jiných resortů (na málo ziskovém zemědělství je dnes u nás závislých o čtvrt milionu méně lidí než v roce 1989).
Postion	Tokenization
1	Většina
2	přebytečných
3	pracovních
4	sil
5	pod
6	ekonomickým
7	tlakem
8	odešla
9	do
10	jiných
11	resortů
12	(
13	na
14	málo
15	ziskovém
16	zemědělství
17	je
18	dnes
19	u
20	nás
21	závislých
22	o
23	čtvrt
24	milionu
25	méně
26	lidí
27	než
28	v
29	roce
30	1989
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Většina	NOUN	8	nsubj
2	přebytečných	ADJ	4	amod
3	pracovních	ADJ	4	amod
4	sil	NOUN	1	nmod
5	pod	ADP	7	case
6	ekonomickým	ADJ	7	amod
7	tlakem	NOUN	8	obl
8	odešla	VERB	0	root
9	do	ADP	11	case
10	jiných	ADJ	11	amod
11	resortů	NOUN	8	obl
12	(	PUNCT	21	punct
13	na	ADP	16	case
14	málo	ADV	15	advmod
15	ziskovém	ADJ	16	amod
16	zemědělství	NOUN	21	obl:arg
17	je	AUX	21	cop
18	dnes	ADV	21	advmod
19	u	ADP	20	case
20	nás	PRON	21	obl
21	závislých	ADJ	8	parataxis
22	o	ADP	23	case
23	čtvrt	NOUN	25	obl
24	milionu	NOUN	23	nmod
25	méně	ADV	21	nsubj
26	lidí	NOUN	25	nmod
27	než	SCONJ	29	mark
28	v	ADP	29	case
29	roce	NOUN	25	dep
30	1989	NUM	29	nummod
31	)	PUNCT	21	punct
32	.	PUNCT	8	punct