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:
Para conciliar las diferencias monetarias entre las partes se decidió adoptar el arbitraje que, según Neves, probablemente estará formado por tres jueces que serán designados por los dos grupos.
Postion	Tokenization
1	Para
2	conciliar
3	las
4	diferencias
5	monetarias
6	entre
7	las
8	partes
9	se
10	decidió
11	adoptar
12	el
13	arbitraje
14	que
15	,
16	según
17	Neves
18	,
19	probablemente
20	estará
21	formado
22	por
23	tres
24	jueces
25	que
26	serán
27	designados
28	por
29	los
30	dos
31	grupos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	conciliar	VERB	10	advcl
3	las	DET	4	det
4	diferencias	NOUN	2	obj
5	monetarias	ADJ	4	amod
6	entre	ADP	8	case
7	las	DET	8	det
8	partes	NOUN	4	nmod
9	se	PRON	10	expl:pass
10	decidió	VERB	0	root
11	adoptar	VERB	10	csubj
12	el	DET	13	det
13	arbitraje	NOUN	11	obj
14	que	PRON	21	nsubj
15	,	PUNCT	17	punct
16	según	ADP	17	case
17	Neves	PROPN	21	obl
18	,	PUNCT	17	punct
19	probablemente	ADV	21	advmod
20	estará	AUX	21	cop
21	formado	ADJ	13	acl
22	por	ADP	24	case
23	tres	NUM	24	nummod
24	jueces	NOUN	21	obj
25	que	PRON	27	nsubj
26	serán	AUX	27	aux
27	designados	VERB	24	acl
28	por	ADP	31	case
29	los	DET	31	det
30	dos	NUM	29	nummod
31	grupos	NOUN	27	obj
32	.	PUNCT	10	punct