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:
Rubia, se peinaba de maja y se atrevía a llevar vestidos chillones en los tiempos en que sus primas y amigas iban de luto tibio de posguerra.
Postion	Tokenization
1	Rubia
2	,
3	se
4	peinaba
5	de
6	maja
7	y
8	se
9	atrevía
10	a
11	llevar
12	vestidos
13	chillones
14	en
15	los
16	tiempos
17	en
18	que
19	sus
20	primas
21	y
22	amigas
23	iban
24	de
25	luto
26	tibio
27	de
28	posguerra
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Rubia	ADJ	0	root
2	,	PUNCT	4	punct
3	se	PRON	4	obj
4	peinaba	VERB	1	advcl
5	de	ADP	6	case
6	maja	NOUN	4	obl
7	y	CCONJ	9	cc
8	se	PRON	9	expl:pv
9	atrevía	VERB	1	conj
10	a	ADP	11	mark
11	llevar	VERB	9	xcomp
12	vestidos	NOUN	11	obj
13	chillones	ADJ	12	amod
14	en	ADP	16	case
15	los	DET	16	det
16	tiempos	NOUN	9	obl
17	en	ADP	18	case
18	que	PRON	23	obl
19	sus	DET	20	det
20	primas	NOUN	23	nsubj
21	y	CCONJ	22	cc
22	amigas	NOUN	20	conj
23	iban	VERB	16	acl
24	de	ADP	25	case
25	luto	NOUN	23	obl
26	tibio	ADJ	25	amod
27	de	ADP	28	case
28	posguerra	NOUN	25	nmod
29	.	PUNCT	1	punct