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:
Las desventuras que un pasajero del Turbocat, Joel Manrique, comenzó a narrar a este diario el pasado Martes se convirtieron ayer en una odisea.
Postion	Tokenization
1	Las
2	desventuras
3	que
4	un
5	pasajero
6	del
7	Turbocat
8	,
9	Joel
10	Manrique
11	,
12	comenzó
13	a
14	narrar
15	a
16	este
17	diario
18	el
19	pasado
20	Martes
21	se
22	convirtieron
23	ayer
24	en
25	una
26	odisea
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	desventuras	NOUN	22	nsubj
3	que	PRON	14	obj
4	un	DET	5	det
5	pasajero	NOUN	12	nsubj
6	del	ADP	7	case
7	Turbocat	PROPN	5	nmod
8	,	PUNCT	9	punct
9	Joel	PROPN	5	appos
10	Manrique	PROPN	9	flat
11	,	PUNCT	9	punct
12	comenzó	VERB	2	acl
13	a	ADP	14	mark
14	narrar	VERB	12	xcomp
15	a	ADP	17	case
16	este	DET	17	det
17	diario	NOUN	14	obj
18	el	DET	20	det
19	pasado	ADJ	20	amod
20	Martes	NOUN	12	obl
21	se	PRON	22	expl:pv
22	convirtieron	VERB	0	root
23	ayer	ADV	22	advmod
24	en	ADP	26	case
25	una	DET	26	det
26	odisea	NOUN	22	obj
27	.	PUNCT	22	punct