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:
Desde fuera, el Rancho Criollo parece un fuerte apache esperando la carga del quinto de caballería aunque el Sur Bronx no se parece mucho al Cañón del Colorado: montañas de escoria y escombros, casas quemadas y coches desguazados, calles como páramos por donde no pasa un alma, tiendas desvencijadas que sirven de tapadera a camellos y maleantes.
Postion	Tokenization
1	Desde
2	fuera
3	,
4	el
5	Rancho
6	Criollo
7	parece
8	un
9	fuerte
10	apache
11	esperando
12	la
13	carga
14	del
15	quinto
16	de
17	caballería
18	aunque
19	el
20	Sur
21	Bronx
22	no
23	se
24	parece
25	mucho
26	al
27	Cañón
28	del
29	Colorado
30	:
31	montañas
32	de
33	escoria
34	y
35	escombros
36	,
37	casas
38	quemadas
39	y
40	coches
41	desguazados
42	,
43	calles
44	como
45	páramos
46	por
47	donde
48	no
49	pasa
50	un
51	alma
52	,
53	tiendas
54	desvencijadas
55	que
56	sirven
57	de
58	tapadera
59	a
60	camellos
61	y
62	maleantes
63	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	2	case
2	fuera	ADV	7	advmod
3	,	PUNCT	2	punct
4	el	DET	5	det
5	Rancho	PROPN	7	nsubj
6	Criollo	PROPN	5	flat
7	parece	VERB	0	root
8	un	DET	9	det
9	fuerte	NOUN	7	xcomp
10	apache	ADJ	9	amod
11	esperando	VERB	9	acl
12	la	DET	13	det
13	carga	NOUN	11	obj
14	del	ADP	15	case
15	quinto	NOUN	13	nmod
16	de	ADP	17	case
17	caballería	NOUN	15	nmod
18	aunque	SCONJ	24	mark
19	el	DET	20	det
20	Sur	PROPN	24	nsubj
21	Bronx	PROPN	20	flat
22	no	ADV	24	advmod
23	se	PRON	24	expl:pv
24	parece	VERB	9	advcl
25	mucho	ADV	24	advmod
26	al	ADP	27	case
27	Cañón	PROPN	24	obj
28	del	ADP	29	case
29	Colorado	PROPN	27	flat
30	:	PUNCT	31	punct
31	montañas	NOUN	7	obj
32	de	ADP	33	case
33	escoria	NOUN	31	nmod
34	y	CCONJ	35	cc
35	escombros	NOUN	33	conj
36	,	PUNCT	37	punct
37	casas	NOUN	31	conj
38	quemadas	ADJ	37	amod
39	y	CCONJ	40	cc
40	coches	NOUN	37	conj
41	desguazados	ADJ	40	amod
42	,	PUNCT	43	punct
43	calles	NOUN	31	conj
44	como	ADP	45	case
45	páramos	NOUN	43	nmod
46	por	ADP	47	case
47	donde	PRON	49	obl
48	no	ADV	49	advmod
49	pasa	VERB	43	acl
50	un	DET	51	det
51	alma	NOUN	49	nsubj
52	,	PUNCT	53	punct
53	tiendas	NOUN	31	conj
54	desvencijadas	ADJ	53	amod
55	que	PRON	56	nsubj
56	sirven	VERB	53	acl
57	de	ADP	58	case
58	tapadera	NOUN	56	obj
59	a	ADP	60	case
60	camellos	NOUN	56	obj
61	y	CCONJ	62	cc
62	maleantes	NOUN	60	conj
63	.	PUNCT	7	punct