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:
Kvalifikace favorizovaly Jadese Ideala trenéra Dobrovolného a svěřence tr. Demeleho Sorbit Skala, kteří také již od startu udávali tempo a po prvních metrech měli před osmičlenným pelotonem značný náskok.
Postion	Tokenization
1	Kvalifikace
2	favorizovaly
3	Jadese
4	Ideala
5	trenéra
6	Dobrovolného
7	a
8	svěřence
9	tr
10	.
11	Demeleho
12	Sorbit
13	Skala
14	,
15	kteří
16	také
17	již
18	od
19	startu
20	udávali
21	tempo
22	a
23	po
24	prvních
25	metrech
26	měli
27	před
28	osmičlenným
29	pelotonem
30	značný
31	náskok
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Kvalifikace	NOUN	2	nsubj
2	favorizovaly	VERB	0	root
3	Jadese	PROPN	2	obj
4	Ideala	PROPN	3	flat
5	trenéra	NOUN	3	flat
6	Dobrovolného	PROPN	5	flat
7	a	CCONJ	8	cc
8	svěřence	NOUN	3	conj
9	tr	NOUN	11	nmod
10	.	PUNCT	9	punct
11	Demeleho	PROPN	8	nmod
12	Sorbit	PROPN	8	nmod
13	Skala	PROPN	12	flat
14	,	PUNCT	20	punct
15	kteří	DET	20	nsubj
16	také	ADV	20	advmod
17	již	ADV	19	advmod:emph
18	od	ADP	19	case
19	startu	NOUN	20	obl
20	udávali	VERB	3	acl:relcl
21	tempo	NOUN	20	obj
22	a	CCONJ	26	cc
23	po	ADP	25	case
24	prvních	ADJ	25	amod
25	metrech	NOUN	26	obl
26	měli	VERB	20	conj
27	před	ADP	29	case
28	osmičlenným	ADJ	29	amod
29	pelotonem	NOUN	31	nmod
30	značný	ADJ	31	amod
31	náskok	NOUN	26	obj
32	.	PUNCT	2	punct