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: Loni vyřadil český tenista Karel Nováček (56. hráč ATP) ve 2. kole US Open zdejšího dvojnásobného vítěze Stefana Edberga, letos na témže kurtu číslo 1 ve Flushing Meadows pokořil osmého nasazeného Ukrajince Medveděva 6:3, 6:2, 6:2 za 79 minut.
Position	Tokenization	UPOS	Head	Deprel
1	Loni	ADV	2	advmod
2	vyřadil	VERB	0	root
3	český	ADJ	4	amod
4	tenista	NOUN	2	nsubj
5	Karel	PROPN	4	flat
6	Nováček	PROPN	4	flat
7	(	PUNCT	10	punct
8	56	NUM	10	nummod
9	.	PUNCT	8	punct
10	hráč	NOUN	4	appos
11	ATP	PROPN	10	nmod
12	)	PUNCT	10	punct
13	ve	ADP	16	case
14	2	NUM	16	nummod
15	.	PUNCT	14	punct
16	kole	NOUN	2	obl
17	US	ADJ	16	amod
18	Open	ADJ	17	flat:foreign
19	zdejšího	ADJ	21	amod
20	dvojnásobného	ADJ	21	amod
21	vítěze	NOUN	2	obj
22	Stefana	PROPN	21	flat
23	Edberga	PROPN	21	flat
24	,	PUNCT	34	punct
25	letos	ADV	34	advmod
26	na	ADP	28	case
27	témže	DET	28	det
28	kurtu	NOUN	34	obl
29	číslo	NOUN	28	nmod
30	1	NUM	29	nummod
31	ve	ADP	33	case
32	Flushing	ADJ	33	amod
33	Meadows	PROPN	28	nmod
34	pokořil	VERB	2	conj
35	osmého	ADJ	37	amod
36	nasazeného	ADJ	37	amod
37	Ukrajince	PROPN	34	obl
38	Medveděva	PROPN	37	flat
39	6	NUM	34	obl
40	:	PUNCT	41	punct
41	3	NUM	39	conj
42	,	PUNCT	43	punct
43	6	NUM	39	conj
44	:	PUNCT	45	punct
45	2	NUM	43	conj
46	,	PUNCT	47	punct
47	6	NUM	39	conj
48	:	PUNCT	49	punct
49	2	NUM	47	conj
50	za	ADP	52	case
51	79	NUM	52	nummod:gov
52	minut	NOUN	34	obl
53	.	PUNCT	2	punct