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:
Jeho manželka Sonya jej přivedla na svět v Greenwhichu v americkém státě Connecticut a Mats Wilander, který byl vyřazen z letošního mezinárodního mistrovství USA, byl porodu přítomen.
Postion	Tokenization
1	Jeho
2	manželka
3	Sonya
4	jej
5	přivedla
6	na
7	svět
8	v
9	Greenwhichu
10	v
11	americkém
12	státě
13	Connecticut
14	a
15	Mats
16	Wilander
17	,
18	který
19	byl
20	vyřazen
21	z
22	letošního
23	mezinárodního
24	mistrovství
25	USA
26	,
27	byl
28	porodu
29	přítomen
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	2	det
2	manželka	NOUN	5	nsubj
3	Sonya	PROPN	2	flat
4	jej	PRON	5	obj
5	přivedla	VERB	0	root
6	na	ADP	7	case
7	svět	NOUN	5	obl
8	v	ADP	9	case
9	Greenwhichu	PROPN	5	obl
10	v	ADP	12	case
11	americkém	ADJ	12	amod
12	státě	NOUN	9	nmod
13	Connecticut	PROPN	12	nmod
14	a	CCONJ	29	cc
15	Mats	PROPN	29	nsubj
16	Wilander	PROPN	15	flat
17	,	PUNCT	20	punct
18	který	DET	20	nsubj:pass
19	byl	AUX	20	aux:pass
20	vyřazen	ADJ	15	amod
21	z	ADP	24	case
22	letošního	ADJ	24	amod
23	mezinárodního	ADJ	24	amod
24	mistrovství	NOUN	20	obl
25	USA	PROPN	24	nmod
26	,	PUNCT	20	punct
27	byl	AUX	29	cop
28	porodu	NOUN	29	obl:arg
29	přítomen	ADJ	5	conj
30	.	PUNCT	5	punct