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 el caso fatal de ser alcanzado, Traveller aconseja en su libro - El arte de los duelos -, de 1836, mantener la sangre fría hasta el final, para morir decorosa y dignamente.
Postion	Tokenization
1	En
2	el
3	caso
4	fatal
5	de
6	ser
7	alcanzado
8	,
9	Traveller
10	aconseja
11	en
12	su
13	libro
14	-
15	El
16	arte
17	de
18	los
19	duelos
20	-
21	,
22	de
23	1836
24	,
25	mantener
26	la
27	sangre
28	fría
29	hasta
30	el
31	final
32	,
33	para
34	morir
35	decorosa
36	y
37	dignamente
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	caso	NOUN	10	obl
4	fatal	ADJ	3	amod
5	de	ADP	7	mark
6	ser	AUX	7	aux
7	alcanzado	VERB	3	acl
8	,	PUNCT	3	punct
9	Traveller	PROPN	10	nsubj
10	aconseja	VERB	0	root
11	en	ADP	13	case
12	su	DET	13	det
13	libro	NOUN	10	obl
14	-	PUNCT	15	punct
15	El	DET	16	det
16	arte	PROPN	13	appos
17	de	ADP	19	case
18	los	DET	19	det
19	duelos	PROPN	15	flat
20	-	PUNCT	23	punct
21	,	PUNCT	23	punct
22	de	ADP	23	case
23	1836	NOUN	13	nmod
24	,	PUNCT	23	punct
25	mantener	VERB	10	xcomp
26	la	DET	27	det
27	sangre	NOUN	25	obj
28	fría	NOUN	27	compound
29	hasta	ADP	31	case
30	el	DET	31	det
31	final	NOUN	25	obl
32	,	PUNCT	34	punct
33	para	ADP	34	mark
34	morir	VERB	25	advcl
35	decorosa	ADV	34	advmod
36	y	CCONJ	37	cc
37	dignamente	ADV	35	conj
38	.	PUNCT	10	punct