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:
El primer paso para convocar esa reunión sería, según Fischer, que Milosevic detuviera las atrocidades de sus tropas en Kosovo, que retirara al Ejército y a los paramilitares y que aceptara el retorno de los refugiados.
Postion	Tokenization
1	El
2	primer
3	paso
4	para
5	convocar
6	esa
7	reunión
8	sería
9	,
10	según
11	Fischer
12	,
13	que
14	Milosevic
15	detuviera
16	las
17	atrocidades
18	de
19	sus
20	tropas
21	en
22	Kosovo
23	,
24	que
25	retirara
26	al
27	Ejército
28	y
29	a
30	los
31	paramilitares
32	y
33	que
34	aceptara
35	el
36	retorno
37	de
38	los
39	refugiados
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	paso	NOUN	8	nsubj
4	para	ADP	5	mark
5	convocar	VERB	3	acl
6	esa	DET	7	det
7	reunión	NOUN	5	obj
8	sería	AUX	0	root
9	,	PUNCT	11	punct
10	según	ADP	11	case
11	Fischer	PROPN	8	obl
12	,	PUNCT	11	punct
13	que	SCONJ	15	mark
14	Milosevic	PROPN	15	nsubj
15	detuviera	VERB	8	ccomp
16	las	DET	17	det
17	atrocidades	NOUN	15	obj
18	de	ADP	20	case
19	sus	DET	20	det
20	tropas	NOUN	17	nmod
21	en	ADP	22	case
22	Kosovo	PROPN	17	nmod
23	,	PUNCT	25	punct
24	que	SCONJ	25	mark
25	retirara	VERB	15	advcl
26	al	ADP	27	case
27	Ejército	PROPN	25	obj
28	y	CCONJ	31	cc
29	a	ADP	31	case
30	los	DET	31	det
31	paramilitares	ADJ	27	conj
32	y	CCONJ	34	cc
33	que	SCONJ	34	mark
34	aceptara	VERB	15	conj
35	el	DET	36	det
36	retorno	NOUN	34	obj
37	de	ADP	39	case
38	los	DET	39	det
39	refugiados	NOUN	36	nmod
40	.	PUNCT	8	punct