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:
Si a todo ello añadimos que Haití carece de ejército, disuelto por el ex presidente Jean Bertrand Aristide, y de una policía eficaz, y que el paro afecta al menos a la mitad de la población activa, es lógico que se piense que el futuro está por llegar.
Postion	Tokenization
1	Si
2	a
3	todo
4	ello
5	añadimos
6	que
7	Haití
8	carece
9	de
10	ejército
11	,
12	disuelto
13	por
14	el
15	ex
16	presidente
17	Jean
18	Bertrand
19	Aristide
20	,
21	y
22	de
23	una
24	policía
25	eficaz
26	,
27	y
28	que
29	el
30	paro
31	afecta
32	al
33	menos
34	a
35	la
36	mitad
37	de
38	la
39	población
40	activa
41	,
42	es
43	lógico
44	que
45	se
46	piense
47	que
48	el
49	futuro
50	está
51	por
52	llegar
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	a	ADP	4	case
3	todo	DET	4	det
4	ello	PRON	5	iobj
5	añadimos	VERB	43	advcl
6	que	SCONJ	8	mark
7	Haití	PROPN	8	nsubj
8	carece	VERB	5	ccomp
9	de	ADP	10	case
10	ejército	NOUN	8	obj
11	,	PUNCT	12	punct
12	disuelto	ADJ	10	amod
13	por	ADP	16	case
14	el	DET	16	det
15	ex	ADJ	16	amod
16	presidente	NOUN	12	obj
17	Jean	PROPN	16	appos
18	Bertrand	PROPN	17	flat
19	Aristide	PROPN	17	flat
20	,	PUNCT	12	punct
21	y	CCONJ	24	cc
22	de	ADP	24	case
23	una	DET	24	det
24	policía	NOUN	10	conj
25	eficaz	ADJ	24	amod
26	,	PUNCT	31	punct
27	y	CCONJ	31	cc
28	que	SCONJ	31	mark
29	el	DET	30	det
30	paro	NOUN	31	nsubj
31	afecta	VERB	8	conj
32	al	ADP	31	obj
33	menos	ADV	32	fixed
34	a	ADP	32	case
35	la	DET	36	det
36	mitad	NOUN	39	nmod
37	de	ADP	36	case
38	la	DET	36	det
39	población	NOUN	32	nmod
40	activa	ADJ	39	amod
41	,	PUNCT	5	punct
42	es	AUX	43	cop
43	lógico	ADJ	0	root
44	que	SCONJ	46	mark
45	se	PRON	46	expl:pass
46	piense	VERB	43	csubj
47	que	SCONJ	50	mark
48	el	DET	49	det
49	futuro	NOUN	50	nsubj
50	está	VERB	46	ccomp
51	por	ADP	52	mark
52	llegar	VERB	50	ccomp
53	.	PUNCT	43	punct