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:
Tento 34letý reprezentant přestoupil v týdnu z francouzského Ol. Marseille, ve včerejším utkání střídal v 72. minutě a udělal tečku za první výhrou Leverkusenu v nové sezoně.
Postion	Tokenization
1	Tento
2	34
3	letý
4	reprezentant
5	přestoupil
6	v
7	týdnu
8	z
9	francouzského
10	Ol
11	.
12	Marseille
13	,
14	ve
15	včerejším
16	utkání
17	střídal
18	v
19	72
20	.
21	minutě
22	a
23	udělal
24	tečku
25	za
26	první
27	výhrou
28	Leverkusenu
29	v
30	nové
31	sezoně
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Tento	DET	4	det
2	34	NUM	3	obl
3	letý	ADJ	4	amod
4	reprezentant	NOUN	5	nsubj
5	přestoupil	VERB	0	root
6	v	ADP	7	case
7	týdnu	NOUN	5	obl
8	z	ADP	10	case
9	francouzského	ADJ	10	amod
10	Ol	PROPN	5	obl
11	.	PUNCT	10	punct
12	Marseille	PROPN	10	nmod
13	,	PUNCT	17	punct
14	ve	ADP	16	case
15	včerejším	ADJ	16	amod
16	utkání	NOUN	17	obl
17	střídal	VERB	5	conj
18	v	ADP	21	case
19	72	NUM	21	nummod
20	.	PUNCT	19	punct
21	minutě	NOUN	17	obl
22	a	CCONJ	23	cc
23	udělal	VERB	5	conj
24	tečku	NOUN	23	obj
25	za	ADP	27	case
26	první	ADJ	27	amod
27	výhrou	NOUN	24	nmod
28	Leverkusenu	PROPN	27	nmod
29	v	ADP	31	case
30	nové	ADJ	31	amod
31	sezoně	NOUN	27	nmod
32	.	PUNCT	5	punct