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:
En la novela - En la carretera -, de Jack Kerouac, un personaje pregunta a otro si sabe que por poner la bandera americana al revés en un edificio oficial puede ir a la cárcel.
Postion	Tokenization
1	En
2	la
3	novela
4	-
5	En
6	la
7	carretera
8	-
9	,
10	de
11	Jack
12	Kerouac
13	,
14	un
15	personaje
16	pregunta
17	a
18	otro
19	si
20	sabe
21	que
22	por
23	poner
24	la
25	bandera
26	americana
27	al
28	revés
29	en
30	un
31	edificio
32	oficial
33	puede
34	ir
35	a
36	la
37	cárcel
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	novela	NOUN	16	obl
4	-	PUNCT	7	punct
5	En	ADP	7	case
6	la	DET	7	det
7	carretera	PROPN	3	appos
8	-	PUNCT	11	punct
9	,	PUNCT	11	punct
10	de	ADP	11	case
11	Jack	PROPN	3	nmod
12	Kerouac	PROPN	11	flat
13	,	PUNCT	11	punct
14	un	DET	15	det
15	personaje	NOUN	16	nsubj
16	pregunta	VERB	0	root
17	a	ADP	18	case
18	otro	PRON	16	iobj
19	si	SCONJ	20	mark
20	sabe	VERB	16	ccomp
21	que	SCONJ	34	mark
22	por	ADP	23	mark
23	poner	VERB	34	advcl
24	la	DET	25	det
25	bandera	NOUN	23	obj
26	americana	ADJ	25	amod
27	al	ADP	23	advmod
28	revés	NOUN	27	fixed
29	en	ADP	31	case
30	un	DET	31	det
31	edificio	NOUN	23	obl
32	oficial	ADJ	31	amod
33	puede	AUX	34	aux
34	ir	VERB	20	xcomp
35	a	ADP	37	case
36	la	DET	37	det
37	cárcel	NOUN	34	obl
38	.	PUNCT	16	punct