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:
Inmersa en el área presupuestaria - - la Gran Manzana destinó 55.000 millones de pesetas a los sin techo el pasado año - -, lidió con un reparto que canalizan diversas asociaciones para devolver la esperanza a los que ya no tienen nada.
Postion	Tokenization
1	Inmersa
2	en
3	el
4	área
5	presupuestaria
6	-
7	-
8	la
9	Gran
10	Manzana
11	destinó
12	55.000
13	millones
14	de
15	pesetas
16	a
17	los
18	sin
19	techo
20	el
21	pasado
22	año
23	-
24	-
25	,
26	lidió
27	con
28	un
29	reparto
30	que
31	canalizan
32	diversas
33	asociaciones
34	para
35	devolver
36	la
37	esperanza
38	a
39	los
40	que
41	ya
42	no
43	tienen
44	nada
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Inmersa	ADJ	26	amod
2	en	ADP	4	case
3	el	DET	4	det
4	área	NOUN	1	nmod
5	presupuestaria	ADJ	4	amod
6	-	PUNCT	11	punct
7	-	PUNCT	11	punct
8	la	DET	9	det
9	Gran	ADJ	11	nsubj
10	Manzana	PROPN	9	flat
11	destinó	VERB	26	parataxis
12	55.000	NUM	13	nummod
13	millones	NOUN	11	obj
14	de	ADP	15	case
15	pesetas	NOUN	13	nmod
16	a	ADP	19	case
17	los	DET	19	det
18	sin	ADP	17	case
19	techo	NOUN	11	obj
20	el	DET	22	det
21	pasado	ADJ	22	amod
22	año	NOUN	11	obl
23	-	PUNCT	11	punct
24	-	PUNCT	11	punct
25	,	PUNCT	11	punct
26	lidió	VERB	0	root
27	con	ADP	29	case
28	un	DET	29	det
29	reparto	NOUN	26	obl
30	que	PRON	31	obj
31	canalizan	VERB	29	acl
32	diversas	DET	33	det
33	asociaciones	NOUN	31	nsubj
34	para	ADP	35	mark
35	devolver	VERB	31	advcl
36	la	DET	37	det
37	esperanza	NOUN	35	iobj
38	a	ADP	43	mark
39	los	DET	43	det
40	que	PRON	43	nsubj
41	ya	ADV	43	advmod
42	no	ADV	43	advmod
43	tienen	VERB	35	ccomp
44	nada	PRON	43	obj
45	.	PUNCT	26	punct