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 soupeřem bude na dvorcích v areálu Flushing Meadow brazilský antukový specialista Oncins, kterému při prvním Connorsově startu v New Yorku byly pouhé dva měsíce.
Postion	Tokenization
1	Jeho
2	soupeřem
3	bude
4	na
5	dvorcích
6	v
7	areálu
8	Flushing
9	Meadow
10	brazilský
11	antukový
12	specialista
13	Oncins
14	,
15	kterému
16	při
17	prvním
18	Connorsově
19	startu
20	v
21	New
22	Yorku
23	byly
24	pouhé
25	dva
26	měsíce
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	2	det
2	soupeřem	NOUN	0	root
3	bude	AUX	2	cop
4	na	ADP	5	case
5	dvorcích	NOUN	2	obl
6	v	ADP	7	case
7	areálu	NOUN	5	nmod
8	Flushing	ADJ	9	amod
9	Meadow	PROPN	7	nmod
10	brazilský	ADJ	12	amod
11	antukový	ADJ	12	amod
12	specialista	NOUN	2	nsubj
13	Oncins	PROPN	12	flat
14	,	PUNCT	23	punct
15	kterému	DET	23	obl:arg
16	při	ADP	19	case
17	prvním	ADJ	19	amod
18	Connorsově	ADJ	19	amod
19	startu	NOUN	23	obl
20	v	ADP	22	case
21	New	ADJ	22	amod
22	Yorku	PROPN	19	nmod
23	byly	VERB	12	acl:relcl
24	pouhé	ADJ	26	amod
25	dva	NUM	26	nummod
26	měsíce	NOUN	23	nsubj
27	.	PUNCT	2	punct