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: Od té doby mají jeho výkony v New Yorku pravidelně sestupnou tendenci, čemuž odpovídá i letošní výsledek - na posledním grandslamovém turnaji roku ho Němec Markus Zoecke vyřadil v 1. kole!
Position	Tokenization	UPOS	Head	Deprel
1	Od	ADP	3	case
2	té	DET	3	det
3	doby	NOUN	4	obl
4	mají	VERB	0	root
5	jeho	DET	6	det
6	výkony	NOUN	4	nsubj
7	v	ADP	9	case
8	New	ADJ	9	amod
9	Yorku	PROPN	6	nmod
10	pravidelně	ADV	11	advmod
11	sestupnou	ADJ	12	amod
12	tendenci	NOUN	4	obj
13	,	PUNCT	15	punct
14	čemuž	PRON	15	obl:arg
15	odpovídá	VERB	4	conj
16	i	CCONJ	18	advmod:emph
17	letošní	ADJ	18	amod
18	výsledek	NOUN	15	nsubj
19	-	PUNCT	29	punct
20	na	ADP	23	case
21	posledním	ADJ	23	amod
22	grandslamovém	ADJ	23	amod
23	turnaji	NOUN	29	obl
24	roku	NOUN	23	nmod
25	ho	PRON	29	obj
26	Němec	PROPN	29	nsubj
27	Markus	PROPN	26	flat
28	Zoecke	PROPN	26	flat
29	vyřadil	VERB	15	parataxis
30	v	ADP	33	case
31	1	NUM	33	nummod
32	.	PUNCT	31	punct
33	kole	NOUN	29	obl
34	!	PUNCT	4	punct