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:
Vývoz potřebuje podnik nezbytně zvýšit, protože domácí trh je nasycen a kapacity podniku se třemi tisíci pracovníky jsou vytíženy jen na 50 procent.
Postion	Tokenization
1	Vývoz
2	potřebuje
3	podnik
4	nezbytně
5	zvýšit
6	,
7	protože
8	domácí
9	trh
10	je
11	nasycen
12	a
13	kapacity
14	podniku
15	se
16	třemi
17	tisíci
18	pracovníky
19	jsou
20	vytíženy
21	jen
22	na
23	50
24	procent
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Vývoz	NOUN	5	obj
2	potřebuje	VERB	0	root
3	podnik	NOUN	2	nsubj
4	nezbytně	ADV	2	advmod
5	zvýšit	VERB	2	xcomp
6	,	PUNCT	11	punct
7	protože	SCONJ	11	mark
8	domácí	ADJ	9	amod
9	trh	NOUN	11	nsubj
10	je	AUX	11	cop
11	nasycen	ADJ	2	advcl
12	a	CCONJ	20	cc
13	kapacity	NOUN	20	nsubj
14	podniku	NOUN	13	nmod
15	se	ADP	18	case
16	třemi	NUM	17	nummod
17	tisíci	NOUN	18	nmod
18	pracovníky	NOUN	14	nmod
19	jsou	AUX	20	cop
20	vytíženy	ADJ	11	conj
21	jen	PART	23	advmod:emph
22	na	ADP	24	case
23	50	NUM	24	nummod:gov
24	procent	NOUN	20	obl
25	.	PUNCT	2	punct