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 delegación de la ONU tiene previsto visitar la región en los próximos días para evaluar, sobre el terreno, las posibilidades y medios necesarios para limpiar la zona.
Postion	Tokenization
1	La
2	delegación
3	de
4	la
5	ONU
6	tiene
7	previsto
8	visitar
9	la
10	región
11	en
12	los
13	próximos
14	días
15	para
16	evaluar
17	,
18	sobre
19	el
20	terreno
21	,
22	las
23	posibilidades
24	y
25	medios
26	necesarios
27	para
28	limpiar
29	la
30	zona
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	delegación	NOUN	6	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	ONU	PROPN	2	nmod
6	tiene	VERB	0	root
7	previsto	ADJ	6	iobj
8	visitar	VERB	6	xcomp
9	la	DET	10	det
10	región	NOUN	8	obj
11	en	ADP	14	case
12	los	DET	14	det
13	próximos	ADJ	14	amod
14	días	NOUN	8	obl
15	para	ADP	16	mark
16	evaluar	VERB	8	advcl
17	,	PUNCT	20	punct
18	sobre	ADP	20	case
19	el	DET	20	det
20	terreno	NOUN	16	obl
21	,	PUNCT	20	punct
22	las	DET	23	det
23	posibilidades	NOUN	16	obj
24	y	CCONJ	25	cc
25	medios	NOUN	23	conj
26	necesarios	ADJ	25	amod
27	para	ADP	28	mark
28	limpiar	VERB	23	acl
29	la	DET	30	det
30	zona	NOUN	28	obj
31	.	PUNCT	6	punct