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:
Trenér Jiří Bartoš dostal doporučení vybrat z nich čtveřici s ohledem na potřeby štafety, tedy dva klasiky a dva bruslaře, a rovněž preferovat mládí.
Postion	Tokenization
1	Trenér
2	Jiří
3	Bartoš
4	dostal
5	doporučení
6	vybrat
7	z
8	nich
9	čtveřici
10	s
11	ohledem
12	na
13	potřeby
14	štafety
15	,
16	tedy
17	dva
18	klasiky
19	a
20	dva
21	bruslaře
22	,
23	a
24	rovněž
25	preferovat
26	mládí
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Trenér	NOUN	4	nsubj
2	Jiří	PROPN	1	flat
3	Bartoš	PROPN	1	flat
4	dostal	VERB	0	root
5	doporučení	NOUN	4	obj
6	vybrat	VERB	5	acl
7	z	ADP	8	case
8	nich	PRON	6	obl
9	čtveřici	NOUN	6	obj
10	s	ADP	13	case
11	ohledem	NOUN	10	fixed
12	na	ADP	10	fixed
13	potřeby	NOUN	9	nmod
14	štafety	NOUN	13	nmod
15	,	PUNCT	9	punct
16	tedy	ADV	9	cc
17	dva	NUM	18	nummod
18	klasiky	NOUN	9	nmod
19	a	CCONJ	21	cc
20	dva	NUM	21	nummod
21	bruslaře	NOUN	18	conj
22	,	PUNCT	9	punct
23	a	CCONJ	25	cc
24	rovněž	ADV	25	advmod
25	preferovat	VERB	6	conj
26	mládí	NOUN	25	obj
27	.	PUNCT	4	punct