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:
Ve stínu debaklu, který přišel po nadějných dvou úvodních vítězstvích v lize doma se Zlínem a v Plzni, prohlásil: "Budeme muset sestoupit oběma nohama na zem."
Postion	Tokenization
1	Ve
2	stínu
3	debaklu
4	,
5	který
6	přišel
7	po
8	nadějných
9	dvou
10	úvodních
11	vítězstvích
12	v
13	lize
14	doma
15	se
16	Zlínem
17	a
18	v
19	Plzni
20	,
21	prohlásil
22	:
23	"
24	Budeme
25	muset
26	sestoupit
27	oběma
28	nohama
29	na
30	zem
31	.
32	"
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	stínu	NOUN	21	obl
3	debaklu	NOUN	2	nmod
4	,	PUNCT	6	punct
5	který	DET	6	nsubj
6	přišel	VERB	3	acl:relcl
7	po	ADP	11	case
8	nadějných	ADJ	11	amod
9	dvou	NUM	11	nummod
10	úvodních	ADJ	11	amod
11	vítězstvích	NOUN	6	obl
12	v	ADP	13	case
13	lize	NOUN	11	nmod
14	doma	ADV	11	advmod
15	se	ADP	16	case
16	Zlínem	PROPN	11	nmod
17	a	CCONJ	19	cc
18	v	ADP	19	case
19	Plzni	PROPN	11	conj
20	,	PUNCT	6	punct
21	prohlásil	VERB	0	root
22	:	PUNCT	25	punct
23	"	PUNCT	25	punct
24	Budeme	AUX	25	aux
25	muset	VERB	21	ccomp
26	sestoupit	VERB	25	xcomp
27	oběma	NUM	28	nummod
28	nohama	NOUN	26	obl
29	na	ADP	30	case
30	zem	NOUN	26	obl
31	.	PUNCT	21	punct
32	"	PUNCT	21	punct