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 viajará a Buenos Aires, y se espera que llegue a Madrid en noviembre de este año, y a Barcelona, en abril del 2000.
Postion	Tokenization
1	Después
2	viajará
3	a
4	Buenos
5	Aires
6	,
7	y
8	se
9	espera
10	que
11	llegue
12	a
13	Madrid
14	en
15	noviembre
16	de
17	este
18	año
19	,
20	y
21	a
22	Barcelona
23	,
24	en
25	abril
26	del
27	2000
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	2	advmod
2	viajará	VERB	0	root
3	a	ADP	4	case
4	Buenos	PROPN	2	obl
5	Aires	PROPN	4	flat
6	,	PUNCT	9	punct
7	y	CCONJ	9	cc
8	se	PRON	9	expl:pass
9	espera	VERB	2	conj
10	que	SCONJ	11	mark
11	llegue	VERB	9	ccomp
12	a	ADP	13	case
13	Madrid	PROPN	11	obl
14	en	ADP	15	case
15	noviembre	NOUN	11	obl
16	de	ADP	18	case
17	este	DET	18	det
18	año	NOUN	15	nmod
19	,	PUNCT	22	punct
20	y	CCONJ	22	cc
21	a	ADP	22	case
22	Barcelona	PROPN	11	conj
23	,	PUNCT	25	punct
24	en	ADP	25	case
25	abril	NOUN	22	nmod
26	del	ADP	27	case
27	2000	NUM	25	compound
28	.	PUNCT	2	punct