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:
La fiesta albinegra se trasladó a las calles y continuará en una larga caravana de aproximadamente 300 autobuses que emprenderán el regreso a Sao Paulo, en un trayecto de poco más de 400 kilómetros.
Postion	Tokenization
1	La
2	fiesta
3	albinegra
4	se
5	trasladó
6	a
7	las
8	calles
9	y
10	continuará
11	en
12	una
13	larga
14	caravana
15	de
16	aproximadamente
17	300
18	autobuses
19	que
20	emprenderán
21	el
22	regreso
23	a
24	Sao
25	Paulo
26	,
27	en
28	un
29	trayecto
30	de
31	poco
32	más
33	de
34	400
35	kilómetros
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	fiesta	NOUN	5	nsubj
3	albinegra	ADJ	2	amod
4	se	PRON	5	expl:pv
5	trasladó	VERB	0	root
6	a	ADP	8	case
7	las	DET	8	det
8	calles	NOUN	5	obl
9	y	CCONJ	10	cc
10	continuará	VERB	5	conj
11	en	ADP	14	case
12	una	DET	14	det
13	larga	ADJ	14	amod
14	caravana	NOUN	10	obl
15	de	ADP	18	case
16	aproximadamente	ADV	18	advmod
17	300	NUM	18	nummod
18	autobuses	NOUN	14	nmod
19	que	PRON	20	nsubj
20	emprenderán	VERB	18	acl
21	el	DET	22	det
22	regreso	NOUN	20	obj
23	a	ADP	24	case
24	Sao	PROPN	22	nmod
25	Paulo	PROPN	24	flat
26	,	PUNCT	29	punct
27	en	ADP	29	case
28	un	DET	29	det
29	trayecto	NOUN	22	nmod
30	de	ADP	35	case
31	poco	PRON	35	obl
32	más	ADV	31	fixed
33	de	ADP	31	fixed
34	400	NUM	35	nummod
35	kilómetros	NOUN	29	nmod
36	.	PUNCT	5	punct