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: Nové technologie snižují spotřebu legovacích prvků, takže cena bude letos dále klesat, ovšem budoucí zvyšování výroby oceli by se příští rok mělo přičinit i o mírné zvýšení cen manganu.
Position	Tokenization	UPOS	Head	Deprel
1	Nové	ADJ	2	amod
2	technologie	NOUN	3	nsubj
3	snižují	VERB	0	root
4	spotřebu	NOUN	3	obj
5	legovacích	ADJ	6	amod
6	prvků	NOUN	4	nmod
7	,	PUNCT	13	punct
8	takže	SCONJ	13	mark
9	cena	NOUN	13	nsubj
10	bude	AUX	13	aux
11	letos	ADV	13	advmod
12	dále	ADV	13	advmod
13	klesat	VERB	3	advcl
14	,	PUNCT	24	punct
15	ovšem	CCONJ	24	cc
16	budoucí	ADJ	17	amod
17	zvyšování	NOUN	24	nsubj
18	výroby	NOUN	17	nmod
19	oceli	NOUN	18	nmod
20	by	AUX	24	aux
21	se	PRON	25	expl:pv
22	příští	ADJ	23	amod
23	rok	NOUN	24	obl
24	mělo	VERB	3	conj
25	přičinit	VERB	24	xcomp
26	i	CCONJ	29	advmod:emph
27	o	ADP	29	case
28	mírné	ADJ	29	amod
29	zvýšení	NOUN	25	obl:arg
30	cen	NOUN	29	nmod
31	manganu	NOUN	30	nmod
32	.	PUNCT	3	punct