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 text: Zatímco vítěz z pařížské antuky se snaží otrkat i na ostatních površích (osmifinále na wimbledonské trávě), kdysi univerzální Muster se programově betonům vyhýbá, neboť po těžké dopravní nehodě nemůže své levé koleno tolik zatěžovat.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	7	mark
2	vítěz	NOUN	7	nsubj
3	z	ADP	5	case
4	pařížské	ADJ	5	amod
5	antuky	NOUN	2	nmod
6	se	PRON	7	expl:pv
7	snaží	VERB	26	advcl
8	otrkat	VERB	7	xcomp
9	i	CCONJ	12	advmod:emph
10	na	ADP	12	case
11	ostatních	ADJ	12	amod
12	površích	NOUN	8	obl
13	(	PUNCT	7	punct
14	osmifinále	NOUN	7	dep
15	na	ADP	17	case
16	wimbledonské	ADJ	17	amod
17	trávě	NOUN	14	nmod
18	)	PUNCT	7	punct
19	,	PUNCT	7	punct
20	kdysi	ADV	21	advmod
21	univerzální	ADJ	22	amod
22	Muster	PROPN	26	nsubj
23	se	PRON	26	expl:pv
24	programově	ADV	26	advmod
25	betonům	NOUN	26	obl:arg
26	vyhýbá	VERB	0	root
27	,	PUNCT	33	punct
28	neboť	CCONJ	33	cc
29	po	ADP	32	case
30	těžké	ADJ	32	amod
31	dopravní	ADJ	32	amod
32	nehodě	NOUN	33	obl
33	nemůže	VERB	26	conj
34	své	DET	36	det
35	levé	ADJ	36	amod
36	koleno	NOUN	38	obj
37	tolik	ADV	38	advmod
38	zatěžovat	VERB	33	xcomp
39	.	PUNCT	26	punct