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:
Litvínov překvapivě prohrál (potřetí v řadě) s hosty z Pardubic a značně si tak zkomplikoval situaci, zvláště když ho v příštím kole čeká zápas se Slavií, která včera vyhrála na ledě poslední Jihlavy a dostala se tak zpět do hry o play off.
Postion	Tokenization
1	Litvínov
2	překvapivě
3	prohrál
4	(
5	potřetí
6	v
7	řadě
8	)
9	s
10	hosty
11	z
12	Pardubic
13	a
14	značně
15	si
16	tak
17	zkomplikoval
18	situaci
19	,
20	zvláště
21	když
22	ho
23	v
24	příštím
25	kole
26	čeká
27	zápas
28	se
29	Slavií
30	,
31	která
32	včera
33	vyhrála
34	na
35	ledě
36	poslední
37	Jihlavy
38	a
39	dostala
40	se
41	tak
42	zpět
43	do
44	hry
45	o
46	play
47	off
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Litvínov	PROPN	3	nsubj
2	překvapivě	ADV	3	advmod
3	prohrál	VERB	0	root
4	(	PUNCT	5	punct
5	potřetí	ADV	3	obl
6	v	ADP	7	case
7	řadě	NOUN	5	obl
8	)	PUNCT	5	punct
9	s	ADP	10	case
10	hosty	NOUN	3	obl:arg
11	z	ADP	12	case
12	Pardubic	PROPN	10	nmod
13	a	CCONJ	17	cc
14	značně	ADV	17	advmod
15	si	PRON	17	obl:arg
16	tak	ADV	17	advmod
17	zkomplikoval	VERB	3	conj
18	situaci	NOUN	17	obj
19	,	PUNCT	26	punct
20	zvláště	ADV	26	advmod:emph
21	když	SCONJ	26	mark
22	ho	PRON	26	obj
23	v	ADP	25	case
24	příštím	ADJ	25	amod
25	kole	NOUN	26	obl
26	čeká	VERB	17	advcl
27	zápas	NOUN	26	nsubj
28	se	ADP	29	case
29	Slavií	PROPN	27	nmod
30	,	PUNCT	33	punct
31	která	DET	33	nsubj
32	včera	ADV	33	advmod
33	vyhrála	VERB	29	acl:relcl
34	na	ADP	35	case
35	ledě	NOUN	33	obl
36	poslední	ADJ	37	amod
37	Jihlavy	PROPN	35	nmod
38	a	CCONJ	39	cc
39	dostala	VERB	33	conj
40	se	PRON	39	expl:pv
41	tak	ADV	39	advmod
42	zpět	ADV	39	advmod
43	do	ADP	44	case
44	hry	NOUN	39	obl
45	o	ADP	46	case
46	play	NOUN	44	nmod
47	off	PART	46	flat:foreign
48	.	PUNCT	3	punct