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:
Después del calor, el polvo y una jornada entre nostálgica y alegre, Flor del Monte se queda sola, con una alfombra de latas de cerveza, plásticos, cascos de botellas y el temor de que los grupos paramilitares que están sólo a tres horas de coche de ellos decidan tomarla con su pueblo.
Postion	Tokenization
1	Después
2	del
3	calor
4	,
5	el
6	polvo
7	y
8	una
9	jornada
10	entre
11	nostálgica
12	y
13	alegre
14	,
15	Flor
16	del
17	Monte
18	se
19	queda
20	sola
21	,
22	con
23	una
24	alfombra
25	de
26	latas
27	de
28	cerveza
29	,
30	plásticos
31	,
32	cascos
33	de
34	botellas
35	y
36	el
37	temor
38	de
39	que
40	los
41	grupos
42	paramilitares
43	que
44	están
45	sólo
46	a
47	tres
48	horas
49	de
50	coche
51	de
52	ellos
53	decidan
54	tomarla
55	tomar
56	la
57	con
58	su
59	pueblo
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	3	case
2	del	ADP	1	fixed
3	calor	NOUN	19	obl
4	,	PUNCT	6	punct
5	el	DET	6	det
6	polvo	NOUN	3	appos
7	y	CCONJ	9	cc
8	una	DET	9	det
9	jornada	NOUN	3	conj
10	entre	ADP	11	case
11	nostálgica	ADJ	9	amod
12	y	CCONJ	13	cc
13	alegre	ADJ	11	conj
14	,	PUNCT	3	punct
15	Flor	PROPN	19	nsubj
16	del	ADP	17	case
17	Monte	PROPN	15	flat
18	se	PRON	19	expl:pv
19	queda	VERB	0	root
20	sola	ADJ	19	obj
21	,	PUNCT	24	punct
22	con	ADP	24	case
23	una	DET	24	det
24	alfombra	NOUN	19	obl
25	de	ADP	26	case
26	latas	NOUN	24	nmod
27	de	ADP	28	case
28	cerveza	NOUN	26	nmod
29	,	PUNCT	30	punct
30	plásticos	NOUN	26	conj
31	,	PUNCT	32	punct
32	cascos	NOUN	26	conj
33	de	ADP	34	case
34	botellas	NOUN	32	nmod
35	y	CCONJ	37	cc
36	el	DET	37	det
37	temor	NOUN	24	conj
38	de	ADP	53	mark
39	que	SCONJ	53	mark
40	los	DET	41	det
41	grupos	NOUN	53	nsubj
42	paramilitares	ADJ	41	amod
43	que	PRON	44	nsubj
44	están	VERB	41	acl
45	sólo	ADV	44	advmod
46	a	ADP	48	case
47	tres	NUM	48	nummod
48	horas	NOUN	44	obj
49	de	ADP	50	case
50	coche	NOUN	48	nmod
51	de	ADP	52	case
52	ellos	PRON	48	nmod
53	decidan	VERB	37	acl
54	tomarla	_	None	_
55	tomar	VERB	53	xcomp
56	la	PRON	54	obj
57	con	ADP	58	case
58	su	DET	58	det
59	pueblo	NOUN	54	obj
60	.	PUNCT	19	punct