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:
Od počátku války jsme s 37 zaměstnanci, z čehož jsou pouze čtyři lékaři specialisté, odoperovali 700 dětí," říká primář dětské chirurgie v sarajevské nemocnici Koševo.
Postion	Tokenization
1	Od
2	počátku
3	války
4	jsme
5	s
6	37
7	zaměstnanci
8	,
9	z
10	čehož
11	jsou
12	pouze
13	čtyři
14	lékaři
15	specialisté
16	,
17	odoperovali
18	700
19	dětí
20	,
21	"
22	říká
23	primář
24	dětské
25	chirurgie
26	v
27	sarajevské
28	nemocnici
29	Koševo
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Od	ADP	2	case
2	počátku	NOUN	17	obl
3	války	NOUN	2	nmod
4	jsme	AUX	17	aux
5	s	ADP	7	case
6	37	NUM	7	nummod
7	zaměstnanci	NOUN	17	obl
8	,	PUNCT	15	punct
9	z	ADP	10	case
10	čehož	PRON	15	obl
11	jsou	AUX	15	cop
12	pouze	ADV	15	advmod:emph
13	čtyři	NUM	14	nummod
14	lékaři	NOUN	15	nsubj
15	specialisté	NOUN	7	acl:relcl
16	,	PUNCT	15	punct
17	odoperovali	VERB	22	ccomp
18	700	NUM	19	nummod:gov
19	dětí	NOUN	17	obj
20	,	PUNCT	17	punct
21	"	PUNCT	17	punct
22	říká	VERB	0	root
23	primář	NOUN	22	nsubj
24	dětské	ADJ	25	amod
25	chirurgie	NOUN	23	nmod
26	v	ADP	28	case
27	sarajevské	ADJ	28	amod
28	nemocnici	NOUN	25	nmod
29	Koševo	PROPN	28	nmod
30	.	PUNCT	22	punct