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:
Archeologie věnovala dosud pozornost především centru Tróje, nyní bychom tedy mohli mít šanci poznat, kudy do města táhli lstivé dílo Řeků - trojského koně...
Postion	Tokenization
1	Archeologie
2	věnovala
3	dosud
4	pozornost
5	především
6	centru
7	Tróje
8	,
9	nyní
10	bychom
11	tedy
12	mohli
13	mít
14	šanci
15	poznat
16	,
17	kudy
18	do
19	města
20	táhli
21	lstivé
22	dílo
23	Řeků
24	-
25	trojského
26	koně
27	.
28	.
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Archeologie	NOUN	2	nsubj
2	věnovala	VERB	0	root
3	dosud	ADV	2	advmod
4	pozornost	NOUN	2	obj
5	především	ADV	6	advmod:emph
6	centru	NOUN	2	obl:arg
7	Tróje	PROPN	6	nmod
8	,	PUNCT	12	punct
9	nyní	ADV	12	advmod
10	bychom	AUX	12	aux
11	tedy	ADV	12	advmod
12	mohli	VERB	2	conj
13	mít	VERB	12	xcomp
14	šanci	NOUN	13	obj
15	poznat	VERB	14	acl
16	,	PUNCT	20	punct
17	kudy	ADV	20	advmod
18	do	ADP	19	case
19	města	NOUN	20	obl
20	táhli	VERB	15	ccomp
21	lstivé	ADJ	22	amod
22	dílo	NOUN	20	obj
23	Řeků	PROPN	22	nmod
24	-	PUNCT	26	punct
25	trojského	ADJ	26	amod
26	koně	NOUN	22	appos
27	.	PUNCT	2	punct
28	.	PUNCT	2	punct
29	.	PUNCT	2	punct