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:
Výrobní náklady se společnosti podařilo snížit za dva roky o 4 mld. SEK, zejména díky omezování počtu pracovníků a minimalizací investic.
Postion	Tokenization
1	Výrobní
2	náklady
3	se
4	společnosti
5	podařilo
6	snížit
7	za
8	dva
9	roky
10	o
11	4
12	mld
13	.
14	SEK
15	,
16	zejména
17	díky
18	omezování
19	počtu
20	pracovníků
21	a
22	minimalizací
23	investic
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Výrobní	ADJ	2	amod
2	náklady	NOUN	6	obj
3	se	PRON	5	expl:pv
4	společnosti	NOUN	5	obl:arg
5	podařilo	VERB	0	root
6	snížit	VERB	5	csubj
7	za	ADP	9	case
8	dva	NUM	9	nummod
9	roky	NOUN	6	obl
10	o	ADP	12	case
11	4	NUM	12	nummod
12	mld	NOUN	6	obl
13	.	PUNCT	12	punct
14	SEK	NOUN	12	nmod
15	,	PUNCT	18	punct
16	zejména	ADV	18	advmod:emph
17	díky	ADP	18	case
18	omezování	NOUN	5	obl
19	počtu	NOUN	18	nmod
20	pracovníků	NOUN	19	obl
21	a	CCONJ	22	cc
22	minimalizací	NOUN	18	conj
23	investic	NOUN	22	nmod
24	.	PUNCT	5	punct