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:
Un fatalismo indoloro se apodera de una afición que ayer le aclamó con el entusiasmo y la serenidad de quien, a la vez, halaga al presente y homenajea al pasado.
Postion	Tokenization
1	Un
2	fatalismo
3	indoloro
4	se
5	apodera
6	de
7	una
8	afición
9	que
10	ayer
11	le
12	aclamó
13	con
14	el
15	entusiasmo
16	y
17	la
18	serenidad
19	de
20	quien
21	,
22	a
23	la
24	vez
25	,
26	halaga
27	al
28	presente
29	y
30	homenajea
31	al
32	pasado
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	fatalismo	NOUN	5	nsubj
3	indoloro	ADJ	2	amod
4	se	PRON	5	expl:pv
5	apodera	VERB	0	root
6	de	ADP	8	case
7	una	DET	8	det
8	afición	NOUN	5	obj
9	que	PRON	12	nsubj
10	ayer	ADV	12	advmod
11	le	PRON	12	obj
12	aclamó	VERB	8	acl
13	con	ADP	15	case
14	el	DET	15	det
15	entusiasmo	NOUN	12	obl
16	y	CCONJ	18	cc
17	la	DET	18	det
18	serenidad	NOUN	15	conj
19	de	ADP	26	mark
20	quien	PRON	26	nsubj
21	,	PUNCT	22	punct
22	a	ADP	26	advmod
23	la	DET	22	fixed
24	vez	NOUN	22	fixed
25	,	PUNCT	22	punct
26	halaga	VERB	15	acl
27	al	ADP	28	case
28	presente	NOUN	26	obj
29	y	CCONJ	30	cc
30	homenajea	VERB	26	conj
31	al	ADP	32	case
32	pasado	NOUN	30	obj
33	.	PUNCT	5	punct