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:
Návrh na amnestii pro všechny příslušníky Zapatovy armády pro národní osvobození (EZLN), kteří složí zbraně, zaslal ve středu parlamentu mexický prezident Ernesto Zedillo.
Postion	Tokenization
1	Návrh
2	na
3	amnestii
4	pro
5	všechny
6	příslušníky
7	Zapatovy
8	armády
9	pro
10	národní
11	osvobození
12	(
13	EZLN
14	)
15	,
16	kteří
17	složí
18	zbraně
19	,
20	zaslal
21	ve
22	středu
23	parlamentu
24	mexický
25	prezident
26	Ernesto
27	Zedillo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Návrh	NOUN	20	obj
2	na	ADP	3	case
3	amnestii	NOUN	1	nmod
4	pro	ADP	6	case
5	všechny	DET	6	det
6	příslušníky	NOUN	3	nmod
7	Zapatovy	ADJ	8	amod
8	armády	NOUN	6	nmod
9	pro	ADP	11	case
10	národní	ADJ	11	amod
11	osvobození	NOUN	8	nmod
12	(	PUNCT	13	punct
13	EZLN	PROPN	8	appos
14	)	PUNCT	13	punct
15	,	PUNCT	17	punct
16	kteří	DET	17	det
17	složí	VERB	6	acl
18	zbraně	NOUN	17	obj
19	,	PUNCT	17	punct
20	zaslal	VERB	0	root
21	ve	ADP	22	case
22	středu	NOUN	20	obl
23	parlamentu	NOUN	20	obl:arg
24	mexický	ADJ	25	amod
25	prezident	NOUN	20	nsubj
26	Ernesto	PROPN	25	flat
27	Zedillo	PROPN	25	flat
28	.	PUNCT	20	punct