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:
První impuls k Babylónské věži získal Krofta před dvěma lety, když vedl stáž v Charleville Meziéres: "Pracoval jsem s šestadvaceti stážisty a slyšel od nich angličtinu v nejrůznějších verzích.
Postion	Tokenization
1	První
2	impuls
3	k
4	Babylónské
5	věži
6	získal
7	Krofta
8	před
9	dvěma
10	lety
11	,
12	když
13	vedl
14	stáž
15	v
16	Charleville
17	Meziéres
18	:
19	"
20	Pracoval
21	jsem
22	s
23	šestadvaceti
24	stážisty
25	a
26	slyšel
27	od
28	nich
29	angličtinu
30	v
31	nejrůznějších
32	verzích
33	.
Position	Tokenization	UPOS	Head	Deprel
1	První	ADJ	2	amod
2	impuls	NOUN	6	obj
3	k	ADP	5	case
4	Babylónské	ADJ	5	amod
5	věži	NOUN	2	nmod
6	získal	VERB	0	root
7	Krofta	PROPN	6	nsubj
8	před	ADP	10	case
9	dvěma	NUM	10	nummod
10	lety	NOUN	6	obl
11	,	PUNCT	13	punct
12	když	SCONJ	13	mark
13	vedl	VERB	6	advcl
14	stáž	NOUN	13	obj
15	v	ADP	16	case
16	Charleville	PROPN	13	obl
17	Meziéres	PROPN	16	nmod
18	:	PUNCT	20	punct
19	"	PUNCT	20	punct
20	Pracoval	VERB	6	conj
21	jsem	AUX	20	aux
22	s	ADP	24	case
23	šestadvaceti	NUM	24	nummod
24	stážisty	NOUN	20	obl
25	a	CCONJ	26	cc
26	slyšel	VERB	20	conj
27	od	ADP	28	case
28	nich	PRON	26	obl
29	angličtinu	NOUN	26	obj
30	v	ADP	32	case
31	nejrůznějších	ADJ	32	amod
32	verzích	NOUN	29	nmod
33	.	PUNCT	6	punct