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:
Vedly k tomu obavy z toho, že by mohl příliš velký růst počtu pracovních míst ve zpracovatelských odvětvích přispět k vyšší inflaci.
Postion	Tokenization
1	Vedly
2	k
3	tomu
4	obavy
5	z
6	toho
7	,
8	že
9	by
10	mohl
11	příliš
12	velký
13	růst
14	počtu
15	pracovních
16	míst
17	ve
18	zpracovatelských
19	odvětvích
20	přispět
21	k
22	vyšší
23	inflaci
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Vedly	VERB	0	root
2	k	ADP	3	case
3	tomu	DET	1	obl:arg
4	obavy	NOUN	1	nsubj
5	z	ADP	6	case
6	toho	DET	4	det
7	,	PUNCT	10	punct
8	že	SCONJ	10	mark
9	by	AUX	10	aux
10	mohl	VERB	6	acl
11	příliš	ADV	12	advmod
12	velký	ADJ	13	amod
13	růst	NOUN	10	nsubj
14	počtu	NOUN	13	nmod
15	pracovních	ADJ	16	amod
16	míst	NOUN	14	nmod
17	ve	ADP	19	case
18	zpracovatelských	ADJ	19	amod
19	odvětvích	NOUN	16	nmod
20	přispět	VERB	10	xcomp
21	k	ADP	23	case
22	vyšší	ADJ	23	amod
23	inflaci	NOUN	20	obl:arg
24	.	PUNCT	1	punct