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:
Sampras pak měl nezvyklé problémy hned v dalším kole s Bahamcem Smithem (187.), s nímž vyhrál až po boji 4: 6, 6: 2, 6: 4, 6: 3.
Postion	Tokenization
1	Sampras
2	pak
3	měl
4	nezvyklé
5	problémy
6	hned
7	v
8	dalším
9	kole
10	s
11	Bahamcem
12	Smithem
13	(
14	187
15	.
16	)
17	,
18	s
19	nímž
20	vyhrál
21	až
22	po
23	boji
24	4
25	:
26	6
27	,
28	6
29	:
30	2
31	,
32	6
33	:
34	4
35	,
36	6
37	:
38	3
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Sampras	PROPN	3	nsubj
2	pak	ADV	3	advmod
3	měl	VERB	0	root
4	nezvyklé	ADJ	5	amod
5	problémy	NOUN	3	obj
6	hned	ADV	9	advmod:emph
7	v	ADP	9	case
8	dalším	ADJ	9	amod
9	kole	NOUN	3	obl
10	s	ADP	11	case
11	Bahamcem	PROPN	9	nmod
12	Smithem	PROPN	11	flat
13	(	PUNCT	14	punct
14	187	NUM	11	nummod
15	.	PUNCT	14	punct
16	)	PUNCT	14	punct
17	,	PUNCT	20	punct
18	s	ADP	19	case
19	nímž	PRON	20	obl:arg
20	vyhrál	VERB	11	acl:relcl
21	až	PART	23	advmod:emph
22	po	ADP	23	case
23	boji	NOUN	20	obl
24	4	NUM	20	obl
25	:	PUNCT	26	punct
26	6	NUM	24	conj
27	,	PUNCT	28	punct
28	6	NUM	24	conj
29	:	PUNCT	30	punct
30	2	NUM	28	conj
31	,	PUNCT	32	punct
32	6	NUM	24	conj
33	:	PUNCT	34	punct
34	4	NUM	32	conj
35	,	PUNCT	36	punct
36	6	NUM	24	conj
37	:	PUNCT	38	punct
38	3	NUM	36	conj
39	.	PUNCT	3	punct