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:
Teď má však soupeře nejtěžšího - v týmu Belgie hraje sedm stabilních hráčů belgické ligy, z nichž obránce Crasson z Anderlechtu a útočník Goossens ze Standaru Lutych už dokonce hráli za mužstvo A.
Postion	Tokenization
1	Teď
2	má
3	však
4	soupeře
5	nejtěžšího
6	-
7	v
8	týmu
9	Belgie
10	hraje
11	sedm
12	stabilních
13	hráčů
14	belgické
15	ligy
16	,
17	z
18	nichž
19	obránce
20	Crasson
21	z
22	Anderlechtu
23	a
24	útočník
25	Goossens
26	ze
27	Standaru
28	Lutych
29	už
30	dokonce
31	hráli
32	za
33	mužstvo
34	A
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Teď	ADV	2	advmod
2	má	VERB	0	root
3	však	CCONJ	2	cc
4	soupeře	NOUN	2	obj
5	nejtěžšího	ADJ	4	amod
6	-	PUNCT	10	punct
7	v	ADP	8	case
8	týmu	NOUN	10	obl
9	Belgie	PROPN	8	nmod
10	hraje	VERB	2	conj
11	sedm	NUM	13	nummod:gov
12	stabilních	ADJ	13	amod
13	hráčů	NOUN	10	nsubj
14	belgické	ADJ	15	amod
15	ligy	NOUN	13	nmod
16	,	PUNCT	31	punct
17	z	ADP	18	case
18	nichž	PRON	31	obl
19	obránce	NOUN	31	nsubj
20	Crasson	PROPN	19	flat
21	z	ADP	22	case
22	Anderlechtu	PROPN	19	nmod
23	a	CCONJ	24	cc
24	útočník	NOUN	19	conj
25	Goossens	PROPN	24	flat
26	ze	ADP	27	case
27	Standaru	PROPN	24	nmod
28	Lutych	PROPN	27	nmod
29	už	ADV	31	advmod
30	dokonce	ADV	31	advmod:emph
31	hráli	VERB	13	acl:relcl
32	za	ADP	33	case
33	mužstvo	NOUN	31	obl
34	A	CCONJ	33	nmod
35	.	PUNCT	2	punct