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:
La policía luxemburguesa continuaba anoche pacientemente las conversaciones con el secuestrador, con la esperanza de lograr un desenlace pacífico del secuestro.
Postion	Tokenization
1	La
2	policía
3	luxemburguesa
4	continuaba
5	anoche
6	pacientemente
7	las
8	conversaciones
9	con
10	el
11	secuestrador
12	,
13	con
14	la
15	esperanza
16	de
17	lograr
18	un
19	desenlace
20	pacífico
21	del
22	secuestro
23	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	4	nsubj
3	luxemburguesa	ADJ	2	amod
4	continuaba	VERB	0	root
5	anoche	ADV	4	advmod
6	pacientemente	ADV	4	advmod
7	las	DET	8	det
8	conversaciones	NOUN	4	obj
9	con	ADP	11	case
10	el	DET	11	det
11	secuestrador	NOUN	8	nmod
12	,	PUNCT	15	punct
13	con	ADP	15	case
14	la	DET	15	det
15	esperanza	NOUN	4	obl
16	de	ADP	17	mark
17	lograr	VERB	15	acl
18	un	DET	19	det
19	desenlace	NOUN	17	obj
20	pacífico	ADJ	19	amod
21	del	ADP	22	case
22	secuestro	NOUN	19	nmod
23	.	PUNCT	4	punct