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:
Letošní zvýšení poptávky o dvě procenta povede příští rok při pomalém nárůstu produkce ke snížení zásob a k dalšímu zvýšení ceny o přibližně 11 procent.
Postion	Tokenization
1	Letošní
2	zvýšení
3	poptávky
4	o
5	dvě
6	procenta
7	povede
8	příští
9	rok
10	při
11	pomalém
12	nárůstu
13	produkce
14	ke
15	snížení
16	zásob
17	a
18	k
19	dalšímu
20	zvýšení
21	ceny
22	o
23	přibližně
24	11
25	procent
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Letošní	ADJ	2	amod
2	zvýšení	NOUN	7	nsubj
3	poptávky	NOUN	2	nmod
4	o	ADP	6	case
5	dvě	NUM	6	nummod
6	procenta	NOUN	2	nmod
7	povede	VERB	0	root
8	příští	ADJ	9	amod
9	rok	NOUN	7	obl
10	při	ADP	12	case
11	pomalém	ADJ	12	amod
12	nárůstu	NOUN	7	obl
13	produkce	NOUN	12	nmod
14	ke	ADP	15	case
15	snížení	NOUN	7	obl
16	zásob	NOUN	15	nmod
17	a	CCONJ	20	cc
18	k	ADP	20	case
19	dalšímu	ADJ	20	amod
20	zvýšení	NOUN	15	conj
21	ceny	NOUN	20	nmod
22	o	ADP	25	case
23	přibližně	ADV	24	advmod:emph
24	11	NUM	25	nummod:gov
25	procent	NOUN	20	nmod
26	.	PUNCT	7	punct