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: Ze stínu Beckera a Sticha vykoukl v New Yorku Němec Bernd Karbacher (41.), který si cestu do svého prvního grandslamového čtvrtfinále vyšlapal přes Lendla, Rosseta (15.) a naposledy Pozziho (131.).
Position	Tokenization	UPOS	Head	Deprel
1	Ze	ADP	2	case
2	stínu	NOUN	6	obl
3	Beckera	PROPN	2	nmod
4	a	CCONJ	5	cc
5	Sticha	PROPN	3	conj
6	vykoukl	VERB	0	root
7	v	ADP	9	case
8	New	ADJ	9	amod
9	Yorku	PROPN	6	obl
10	Němec	PROPN	6	nsubj
11	Bernd	PROPN	10	flat
12	Karbacher	PROPN	10	flat
13	(	PUNCT	14	punct
14	41	NUM	10	nummod
15	.	PUNCT	14	punct
16	)	PUNCT	14	punct
17	,	PUNCT	26	punct
18	který	DET	26	nsubj
19	si	PRON	26	obl
20	cestu	NOUN	26	obj
21	do	ADP	25	case
22	svého	DET	25	det
23	prvního	ADJ	25	amod
24	grandslamového	ADJ	25	amod
25	čtvrtfinále	NOUN	20	nmod
26	vyšlapal	VERB	10	acl:relcl
27	přes	ADP	28	case
28	Lendla	PROPN	26	obl
29	,	PUNCT	30	punct
30	Rosseta	PROPN	28	conj
31	(	PUNCT	32	punct
32	15	NUM	30	nummod
33	.	PUNCT	32	punct
34	)	PUNCT	32	punct
35	_	_	None	_
36	a	CCONJ	36	cc
37	naposledy	ADV	6	conj
38	Pozziho	PROPN	36	orphan
39	(	PUNCT	39	punct
40	131	NUM	37	nummod
41	.	PUNCT	39	punct
42	)	PUNCT	39	punct
43	.	PUNCT	6	punct