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:
A continuación, el 9 de septiembre, empezará la Semana Internacional de la Moda, que este año pondrá el acento en la moda íntima, de baño y joven.
Postion	Tokenization
1	A
2	continuación
3	,
4	el
5	9
6	de
7	septiembre
8	,
9	empezará
10	la
11	Semana
12	Internacional
13	de
14	la
15	Moda
16	,
17	que
18	este
19	año
20	pondrá
21	el
22	acento
23	en
24	la
25	moda
26	íntima
27	,
28	de
29	baño
30	y
31	joven
32	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	9	advmod
2	continuación	NOUN	1	fixed
3	,	PUNCT	5	punct
4	el	DET	5	det
5	9	NUM	1	obl
6	de	ADP	7	case
7	septiembre	NOUN	5	compound
8	,	PUNCT	5	punct
9	empezará	VERB	0	root
10	la	DET	11	det
11	Semana	PROPN	9	nsubj
12	Internacional	PROPN	11	flat
13	de	ADP	15	case
14	la	DET	15	det
15	Moda	PROPN	11	flat
16	,	PUNCT	20	punct
17	que	PRON	20	nsubj
18	este	DET	19	det
19	año	NOUN	20	obl
20	pondrá	VERB	11	acl
21	el	DET	22	det
22	acento	NOUN	20	obj
23	en	ADP	25	case
24	la	DET	25	det
25	moda	NOUN	20	obl
26	íntima	ADJ	25	amod
27	,	PUNCT	29	punct
28	de	ADP	29	case
29	baño	NOUN	26	nmod
30	y	CCONJ	31	cc
31	joven	ADJ	26	conj
32	.	PUNCT	9	punct