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: Trojnásobný vítěz newyorského grandslamového turnaje Američan Ivan Lendl nevybočil z vyjetých kolejí a stejně jako loni vzdal pro zranění, tentokrát ve 2. kole za stavu 4:6, 6:7, 0:1 pro Němce Karbachera.
Position	Tokenization	UPOS	Head	Deprel
1	Trojnásobný	ADJ	2	amod
2	vítěz	NOUN	9	nsubj
3	newyorského	ADJ	5	amod
4	grandslamového	ADJ	5	amod
5	turnaje	NOUN	2	nmod
6	Američan	PROPN	2	flat
7	Ivan	PROPN	2	flat
8	Lendl	PROPN	2	flat
9	nevybočil	VERB	0	root
10	z	ADP	12	case
11	vyjetých	ADJ	12	amod
12	kolejí	NOUN	9	obl
13	a	CCONJ	17	cc
14	stejně	ADV	17	advmod
15	jako	SCONJ	16	mark
16	loni	ADV	14	advcl
17	vzdal	VERB	9	conj
18	pro	ADP	19	case
19	zranění	NOUN	17	obl
20	,	PUNCT	21	punct
21	tentokrát	ADV	17	advmod
22	ve	ADP	25	case
23	2	NUM	25	nummod
24	.	PUNCT	23	punct
25	kole	NOUN	17	obl
26	za	ADP	27	case
27	stavu	NOUN	17	obl
28	4	NUM	27	nummod
29	:	PUNCT	30	punct
30	6	NUM	28	conj
31	,	PUNCT	32	punct
32	6	NUM	28	conj
33	:	PUNCT	34	punct
34	7	NUM	32	conj
35	,	PUNCT	36	punct
36	0	NUM	28	conj
37	:	PUNCT	38	punct
38	1	NUM	36	conj
39	pro	ADP	40	case
40	Němce	PROPN	27	nmod
41	Karbachera	PROPN	40	flat
42	.	PUNCT	9	punct