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: Slovem "tyátr" vystihuje Martina s maminkou Melanií Zoggovou-Hingisovou podzimní dění, které provázelo první krůček nejmladší vítězky juniorky French Open (12 let a osm měsíců), Wimbledonu a finalistky US Open mezi dospělé.
Position	Tokenization	UPOS	Head	Deprel
1	Slovem	NOUN	5	obl
2	"	PUNCT	3	punct
3	tyátr	NOUN	1	nmod
4	"	PUNCT	3	punct
5	vystihuje	VERB	0	root
6	Martina	PROPN	5	nsubj
7	s	ADP	8	case
8	maminkou	NOUN	6	nmod
9	Melanií	PROPN	8	nmod
10	Zoggovou	PROPN	9	flat
11	-	PUNCT	9	punct
12	Hingisovou	PROPN	9	flat
13	podzimní	ADJ	14	amod
14	dění	NOUN	5	obj
15	,	PUNCT	17	punct
16	které	DET	17	nsubj
17	provázelo	VERB	14	acl:relcl
18	první	ADJ	19	amod
19	krůček	NOUN	17	obj
20	nejmladší	ADJ	21	amod
21	vítězky	NOUN	19	nmod
22	juniorky	NOUN	21	nmod
23	French	ADJ	21	amod
24	Open	ADJ	23	flat:foreign
25	(	PUNCT	27	punct
26	12	NUM	27	nummod:gov
27	let	NOUN	21	dep
28	a	CCONJ	30	cc
29	osm	NUM	30	nummod:gov
30	měsíců	NOUN	27	conj
31	)	PUNCT	27	punct
32	,	PUNCT	33	punct
33	Wimbledonu	NOUN	23	conj
34	a	CCONJ	35	cc
35	finalistky	NOUN	21	conj
36	US	ADJ	35	amod
37	Open	ADJ	36	flat:foreign
38	mezi	ADP	39	case
39	dospělé	NOUN	19	nmod
40	.	PUNCT	5	punct