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 Dios está con nosotros, qué sería si estuviera contra nosotros", reza una pintada en la capital que refleja la desesperanza de muchos de sus resignados habitantes, que viven en laderas de chabolas aquí llamadas "bidonvilles", similares a las favelas de Río de Janeiro.
Postion	Tokenization
1	"
2	Si
3	Dios
4	está
5	con
6	nosotros
7	,
8	qué
9	sería
10	si
11	estuviera
12	contra
13	nosotros
14	"
15	,
16	reza
17	una
18	pintada
19	en
20	la
21	capital
22	que
23	refleja
24	la
25	desesperanza
26	de
27	muchos
28	de
29	sus
30	resignados
31	habitantes
32	,
33	que
34	viven
35	en
36	laderas
37	de
38	chabolas
39	aquí
40	llamadas
41	"
42	bidonvilles
43	"
44	,
45	similares
46	a
47	las
48	favelas
49	de
50	Río
51	de
52	Janeiro
53	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Si	SCONJ	6	mark
3	Dios	PROPN	6	nsubj
4	está	AUX	6	cop
5	con	ADP	6	case
6	nosotros	PRON	9	advcl
7	,	PUNCT	6	punct
8	qué	PRON	9	nsubj
9	sería	AUX	16	ccomp
10	si	SCONJ	13	mark
11	estuviera	AUX	13	cop
12	contra	ADP	13	case
13	nosotros	PRON	9	advcl
14	"	PUNCT	9	punct
15	,	PUNCT	9	punct
16	reza	VERB	0	root
17	una	DET	18	det
18	pintada	NOUN	16	nsubj
19	en	ADP	21	case
20	la	DET	21	det
21	capital	NOUN	18	nmod
22	que	PRON	23	nsubj
23	refleja	VERB	18	acl
24	la	DET	25	det
25	desesperanza	NOUN	23	obj
26	de	ADP	27	case
27	muchos	PRON	25	nmod
28	de	ADP	31	case
29	sus	DET	31	det
30	resignados	ADJ	31	amod
31	habitantes	NOUN	27	nmod
32	,	PUNCT	34	punct
33	que	PRON	34	nsubj
34	viven	VERB	31	acl
35	en	ADP	36	case
36	laderas	NOUN	34	obl
37	de	ADP	38	case
38	chabolas	NOUN	36	nmod
39	aquí	ADV	40	advmod
40	llamadas	ADJ	42	amod
41	"	PUNCT	42	punct
42	bidonvilles	NOUN	38	appos
43	"	PUNCT	42	punct
44	,	PUNCT	45	punct
45	similares	ADJ	38	amod
46	a	ADP	48	case
47	las	DET	48	det
48	favelas	NOUN	45	nmod
49	de	ADP	50	case
50	Río	PROPN	48	nmod
51	de	ADP	52	case
52	Janeiro	PROPN	50	flat
53	.	PUNCT	16	punct