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:
Dán Jesper Skibby ujel kilometr před cílem celému pelotonu a vyhrál pátou etapu cyklistického závodu Tour de France, která vedla z Avranches do Evreux a měřila 226 km.
Postion	Tokenization
1	Dán
2	Jesper
3	Skibby
4	ujel
5	kilometr
6	před
7	cílem
8	celému
9	pelotonu
10	a
11	vyhrál
12	pátou
13	etapu
14	cyklistického
15	závodu
16	Tour
17	de
18	France
19	,
20	která
21	vedla
22	z
23	Avranches
24	do
25	Evreux
26	a
27	měřila
28	226
29	km
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Dán	PROPN	4	nsubj
2	Jesper	PROPN	1	flat
3	Skibby	PROPN	1	flat
4	ujel	VERB	0	root
5	kilometr	NOUN	4	obl
6	před	ADP	7	case
7	cílem	NOUN	5	nmod
8	celému	ADJ	9	amod
9	pelotonu	NOUN	4	obl:arg
10	a	CCONJ	11	cc
11	vyhrál	VERB	4	conj
12	pátou	ADJ	13	amod
13	etapu	NOUN	11	obj
14	cyklistického	ADJ	15	amod
15	závodu	NOUN	13	nmod
16	Tour	PROPN	15	nmod
17	de	ADP	16	flat:foreign
18	France	PROPN	16	flat:foreign
19	,	PUNCT	21	punct
20	která	DET	21	nsubj
21	vedla	VERB	13	acl:relcl
22	z	ADP	23	case
23	Avranches	PROPN	21	obl
24	do	ADP	25	case
25	Evreux	PROPN	21	obl
26	a	CCONJ	27	cc
27	měřila	VERB	21	conj
28	226	NUM	27	obl
29	km	NOUN	28	nmod
30	.	PUNCT	4	punct