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:
Nejlépe placeným útočníkem v Ottawě je centr Lamb, který přišel v tzv. rozšířeném draftu z Edmontonu - vydělá si 375000 ročně.
Postion	Tokenization
1	Nejlépe
2	placeným
3	útočníkem
4	v
5	Ottawě
6	je
7	centr
8	Lamb
9	,
10	který
11	přišel
12	v
13	tzv
14	.
15	rozšířeném
16	draftu
17	z
18	Edmontonu
19	-
20	vydělá
21	si
22	375000
23	ročně
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejlépe	ADV	2	advmod
2	placeným	ADJ	3	amod
3	útočníkem	NOUN	0	root
4	v	ADP	5	case
5	Ottawě	PROPN	3	nmod
6	je	AUX	3	cop
7	centr	NOUN	3	nsubj
8	Lamb	PROPN	7	flat
9	,	PUNCT	11	punct
10	který	DET	11	nsubj
11	přišel	VERB	7	acl:relcl
12	v	ADP	16	case
13	tzv	ADJ	16	amod
14	.	PUNCT	13	punct
15	rozšířeném	ADJ	16	amod
16	draftu	NOUN	11	obl
17	z	ADP	18	case
18	Edmontonu	PROPN	11	obl
19	-	PUNCT	20	punct
20	vydělá	VERB	3	appos
21	si	PRON	20	obl
22	375000	NUM	20	obj
23	ročně	ADV	22	advmod
24	.	PUNCT	3	punct