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:
Německý tým 2. hokejové ligy EHC Norimberk sehnal 70000 marek na koupi českého útočníka Jiřího Doležala z finského JVP Jyväskylä.
Postion	Tokenization
1	Německý
2	tým
3	2
4	.
5	hokejové
6	ligy
7	EHC
8	Norimberk
9	sehnal
10	70000
11	marek
12	na
13	koupi
14	českého
15	útočníka
16	Jiřího
17	Doležala
18	z
19	finského
20	JVP
21	Jyväskylä
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Německý	ADJ	2	amod
2	tým	NOUN	9	nsubj
3	2	NUM	6	nummod
4	.	PUNCT	3	punct
5	hokejové	ADJ	6	amod
6	ligy	NOUN	2	nmod
7	EHC	PROPN	6	nmod
8	Norimberk	PROPN	7	nmod
9	sehnal	VERB	0	root
10	70000	NUM	11	nummod:gov
11	marek	NOUN	9	obj
12	na	ADP	13	case
13	koupi	NOUN	9	obl
14	českého	ADJ	15	amod
15	útočníka	NOUN	13	nmod
16	Jiřího	PROPN	15	flat
17	Doležala	PROPN	15	flat
18	z	ADP	20	case
19	finského	ADJ	20	amod
20	JVP	PROPN	15	nmod
21	Jyväskylä	PROPN	20	nmod
22	.	PUNCT	9	punct