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:
Za svůj největší politický úspěch považuje velvyslankyně Albrightová prosazení rezoluce Rady bezpečnosti číslo 940, která schválila případnou americkou invazi na Haiti na podporu řádně zvoleného prezidenta Aristida proti generálské opozici.
Postion	Tokenization
1	Za
2	svůj
3	největší
4	politický
5	úspěch
6	považuje
7	velvyslankyně
8	Albrightová
9	prosazení
10	rezoluce
11	Rady
12	bezpečnosti
13	číslo
14	940
15	,
16	která
17	schválila
18	případnou
19	americkou
20	invazi
21	na
22	Haiti
23	na
24	podporu
25	řádně
26	zvoleného
27	prezidenta
28	Aristida
29	proti
30	generálské
31	opozici
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	5	case
2	svůj	DET	5	det
3	největší	ADJ	5	amod
4	politický	ADJ	5	amod
5	úspěch	NOUN	6	obl:arg
6	považuje	VERB	0	root
7	velvyslankyně	NOUN	6	nsubj
8	Albrightová	PROPN	7	flat
9	prosazení	NOUN	6	obj
10	rezoluce	NOUN	9	nmod
11	Rady	NOUN	12	nmod
12	bezpečnosti	NOUN	10	nmod
13	číslo	NOUN	10	nmod
14	940	NUM	13	nummod
15	,	PUNCT	17	punct
16	která	DET	17	nsubj
17	schválila	VERB	10	acl:relcl
18	případnou	ADJ	20	amod
19	americkou	ADJ	20	amod
20	invazi	NOUN	17	obj
21	na	ADP	22	case
22	Haiti	PROPN	20	nmod
23	na	ADP	24	case
24	podporu	NOUN	20	nmod
25	řádně	ADV	26	advmod
26	zvoleného	ADJ	27	amod
27	prezidenta	NOUN	24	nmod
28	Aristida	PROPN	27	flat
29	proti	ADP	31	case
30	generálské	ADJ	31	amod
31	opozici	NOUN	20	nmod
32	.	PUNCT	6	punct