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:
Las Naciones Unidas han cumplido un papel relevante pero "las tensiones subsisten bajo otras características generadas en esencia por el atraso, la pobreza y las desigualdades que se acentúan peligrosamente", dijo Banzer, quien tiene previsto entrevistarse a última hora de hoy con su colega estadounidense, Bill Clinton.
Postion	Tokenization
1	Las
2	Naciones
3	Unidas
4	han
5	cumplido
6	un
7	papel
8	relevante
9	pero
10	"
11	las
12	tensiones
13	subsisten
14	bajo
15	otras
16	características
17	generadas
18	en
19	esencia
20	por
21	el
22	atraso
23	,
24	la
25	pobreza
26	y
27	las
28	desigualdades
29	que
30	se
31	acentúan
32	peligrosamente
33	"
34	,
35	dijo
36	Banzer
37	,
38	quien
39	tiene
40	previsto
41	entrevistarse
42	entrevistar
43	se
44	a
45	última
46	hora
47	de
48	hoy
49	con
50	su
51	colega
52	estadounidense
53	,
54	Bill
55	Clinton
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	Naciones	PROPN	5	nsubj
3	Unidas	PROPN	2	flat
4	han	AUX	5	aux
5	cumplido	VERB	35	ccomp
6	un	DET	7	det
7	papel	NOUN	5	obj
8	relevante	ADJ	7	amod
9	pero	CCONJ	13	cc
10	"	PUNCT	13	punct
11	las	DET	12	det
12	tensiones	NOUN	13	nsubj
13	subsisten	VERB	5	conj
14	bajo	ADP	16	case
15	otras	DET	16	det
16	características	NOUN	13	obl
17	generadas	ADJ	16	amod
18	en	ADP	17	obj
19	esencia	NOUN	18	fixed
20	por	ADP	18	case
21	el	DET	22	det
22	atraso	NOUN	18	nmod
23	,	PUNCT	25	punct
24	la	DET	25	det
25	pobreza	NOUN	22	appos
26	y	CCONJ	28	cc
27	las	DET	28	det
28	desigualdades	NOUN	22	conj
29	que	PRON	31	nsubj
30	se	PRON	31	expl:pv
31	acentúan	VERB	28	acl
32	peligrosamente	ADV	31	advmod
33	"	PUNCT	13	punct
34	,	PUNCT	5	punct
35	dijo	VERB	0	root
36	Banzer	PROPN	35	nsubj
37	,	PUNCT	39	punct
38	quien	PRON	39	nsubj
39	tiene	VERB	36	acl
40	previsto	ADJ	39	iobj
41	entrevistarse	_	None	_
42	entrevistar	VERB	39	xcomp
43	se	PRON	41	expl:pv
44	a	ADP	45	case
45	última	ADJ	45	amod
46	hora	NOUN	41	obl
47	de	ADP	47	case
48	hoy	ADV	45	advmod
49	con	ADP	50	case
50	su	DET	50	det
51	colega	NOUN	41	obj
52	estadounidense	ADJ	50	amod
53	,	PUNCT	53	punct
54	Bill	PROPN	50	appos
55	Clinton	PROPN	53	flat
56	.	PUNCT	35	punct