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:
Por parte de los militares, los negociadores de Binimarama pondrán sobre la mesa el tema de los rehenes y cuándo tendrá lugar su liberación.
Postion	Tokenization
1	Por
2	parte
3	de
4	los
5	militares
6	,
7	los
8	negociadores
9	de
10	Binimarama
11	pondrán
12	sobre
13	la
14	mesa
15	el
16	tema
17	de
18	los
19	rehenes
20	y
21	cuándo
22	tendrá
23	lugar
24	su
25	liberación
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	5	case
2	parte	NOUN	1	fixed
3	de	ADP	1	fixed
4	los	DET	5	det
5	militares	NOUN	11	obl
6	,	PUNCT	5	punct
7	los	DET	8	det
8	negociadores	NOUN	11	nsubj
9	de	ADP	10	case
10	Binimarama	PROPN	8	nmod
11	pondrán	VERB	0	root
12	sobre	ADP	14	case
13	la	DET	14	det
14	mesa	NOUN	11	obl
15	el	DET	16	det
16	tema	NOUN	11	obj
17	de	ADP	19	case
18	los	DET	19	det
19	rehenes	NOUN	16	nmod
20	y	CCONJ	22	cc
21	cuándo	PRON	22	obl
22	tendrá	VERB	16	conj
23	lugar	NOUN	22	compound
24	su	DET	25	det
25	liberación	NOUN	22	nsubj
26	.	PUNCT	11	punct