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:
"Nuestra preocupación es que los refugiados de Kukes estén a salvo", dijo, por lo que están siendo evacuados a otras zonas más seguras en el sur del país.
Postion	Tokenization
1	"
2	Nuestra
3	preocupación
4	es
5	que
6	los
7	refugiados
8	de
9	Kukes
10	estén
11	a
12	salvo
13	"
14	,
15	dijo
16	,
17	por
18	lo
19	que
20	están
21	siendo
22	evacuados
23	a
24	otras
25	zonas
26	más
27	seguras
28	en
29	el
30	sur
31	del
32	país
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Nuestra	DET	3	det
3	preocupación	NOUN	4	nsubj
4	es	AUX	15	ccomp
5	que	SCONJ	11	mark
6	los	DET	7	det
7	refugiados	NOUN	11	nsubj
8	de	ADP	9	case
9	Kukes	PROPN	7	nmod
10	estén	AUX	11	cop
11	a	ADP	4	ccomp
12	salvo	NOUN	11	fixed
13	"	PUNCT	4	punct
14	,	PUNCT	4	punct
15	dijo	VERB	0	root
16	,	PUNCT	15	punct
17	por	ADP	18	case
18	lo	PRON	15	obl
19	que	SCONJ	22	mark
20	están	AUX	22	aux
21	siendo	AUX	22	aux:pass
22	evacuados	VERB	18	acl
23	a	ADP	25	case
24	otras	DET	25	det
25	zonas	NOUN	22	obl
26	más	ADV	27	advmod
27	seguras	ADJ	25	amod
28	en	ADP	30	case
29	el	DET	30	det
30	sur	NOUN	25	nmod
31	del	ADP	32	case
32	país	NOUN	30	nmod
33	.	PUNCT	15	punct