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 text: Jak Le Monde dále komentuje, Zedillovo rozhodnutí přichází několik dní poté, co Marcos, který si získal přízeň velké části mexické inteligence, vyzval k vytvoření politického hnutí seskupujícího veškerou levicovou opozici v zemi.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	SCONJ	5	mark
2	Le	ADJ	3	amod
3	Monde	PROPN	5	nsubj
4	dále	ADV	5	advmod
5	komentuje	VERB	9	parataxis
6	,	PUNCT	5	punct
7	Zedillovo	ADJ	8	amod
8	rozhodnutí	NOUN	9	nsubj
9	přichází	VERB	0	root
10	několik	DET	11	det:numgov
11	dní	NOUN	9	obl
12	poté	ADV	11	advmod
13	,	PUNCT	26	punct
14	co	SCONJ	26	mark
15	Marcos	PROPN	26	nsubj
16	,	PUNCT	19	punct
17	který	DET	19	nsubj
18	si	PRON	19	obl
19	získal	VERB	15	acl:relcl
20	přízeň	NOUN	19	obj
21	velké	ADJ	22	amod
22	části	NOUN	20	nmod
23	mexické	ADJ	24	amod
24	inteligence	NOUN	22	nmod
25	,	PUNCT	19	punct
26	vyzval	VERB	11	acl
27	k	ADP	28	case
28	vytvoření	NOUN	26	obl
29	politického	ADJ	30	amod
30	hnutí	NOUN	28	nmod
31	seskupujícího	ADJ	30	amod
32	veškerou	PRON	34	nmod
33	levicovou	ADJ	34	amod
34	opozici	NOUN	31	obj
35	v	ADP	36	case
36	zemi	NOUN	34	nmod
37	.	PUNCT	9	punct