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: Na sobotním mezistátním utkání ve Vídni české běžkyně v sestavě Klapáčová, Dziurová, Obdržálková a Benešová vyhrály a časem 1: 35.94 vytvořily domácí rekord na méně obvyklé trati 4 x 200 m.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	sobotním	ADJ	4	amod
3	mezistátním	ADJ	4	amod
4	utkání	NOUN	18	obl
5	ve	ADP	6	case
6	Vídni	PROPN	4	nmod
7	české	ADJ	8	amod
8	běžkyně	NOUN	18	nsubj
9	v	ADP	10	case
10	sestavě	NOUN	8	nmod
11	Klapáčová	PROPN	10	nmod
12	,	PUNCT	13	punct
13	Dziurová	PROPN	11	conj
14	,	PUNCT	15	punct
15	Obdržálková	PROPN	11	conj
16	a	CCONJ	17	cc
17	Benešová	PROPN	11	conj
18	vyhrály	VERB	0	root
19	a	CCONJ	24	cc
20	časem	NOUN	24	obl
21	1	NUM	20	nummod
22	:	PUNCT	23	punct
23	35.94	NUM	21	conj
24	vytvořily	VERB	18	conj
25	domácí	ADJ	26	amod
26	rekord	NOUN	24	obj
27	na	ADP	30	case
28	méně	ADV	29	advmod
29	obvyklé	ADJ	30	amod
30	trati	NOUN	26	nmod
31	4	NUM	30	nummod
32	x	SYM	31	cc
33	200	NUM	31	compound
34	m	NOUN	31	nmod
35	.	PUNCT	18	punct