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:
"V poli je slušná hráčská konkurence a třeba Svoboda se díky kvalitnímu tréninku dostal z role náhradníka na úroveň stabilních členů mužstva," říká jablonecký trenér.
Postion	Tokenization
1	"
2	V
3	poli
4	je
5	slušná
6	hráčská
7	konkurence
8	a
9	třeba
10	Svoboda
11	se
12	díky
13	kvalitnímu
14	tréninku
15	dostal
16	z
17	role
18	náhradníka
19	na
20	úroveň
21	stabilních
22	členů
23	mužstva
24	,
25	"
26	říká
27	jablonecký
28	trenér
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	V	ADP	3	case
3	poli	NOUN	4	obl
4	je	VERB	26	ccomp
5	slušná	ADJ	7	amod
6	hráčská	ADJ	7	amod
7	konkurence	NOUN	4	nsubj
8	a	CCONJ	15	cc
9	třeba	ADV	10	advmod:emph
10	Svoboda	PROPN	15	nsubj
11	se	PRON	15	expl:pv
12	díky	ADP	14	case
13	kvalitnímu	ADJ	14	amod
14	tréninku	NOUN	15	obl
15	dostal	VERB	4	conj
16	z	ADP	17	case
17	role	NOUN	15	obl
18	náhradníka	NOUN	17	nmod
19	na	ADP	20	case
20	úroveň	NOUN	15	obl
21	stabilních	ADJ	22	amod
22	členů	NOUN	20	nmod
23	mužstva	NOUN	22	nmod
24	,	PUNCT	4	punct
25	"	PUNCT	4	punct
26	říká	VERB	0	root
27	jablonecký	ADJ	28	amod
28	trenér	NOUN	26	nsubj
29	.	PUNCT	26	punct