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:
Ni el fuerte tirón del turismo durante el primer trimestre del año resulta suficiente para cubrir el desplome que sufren las exportaciones españolas.
Postion	Tokenization
1	Ni
2	el
3	fuerte
4	tirón
5	del
6	turismo
7	durante
8	el
9	primer
10	trimestre
11	del
12	año
13	resulta
14	suficiente
15	para
16	cubrir
17	el
18	desplome
19	que
20	sufren
21	las
22	exportaciones
23	españolas
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ni	ADV	4	advmod
2	el	DET	4	det
3	fuerte	ADJ	4	amod
4	tirón	NOUN	13	nsubj
5	del	ADP	6	case
6	turismo	NOUN	4	nmod
7	durante	ADP	10	case
8	el	DET	10	det
9	primer	ADJ	10	amod
10	trimestre	NOUN	4	nmod
11	del	ADP	12	case
12	año	NOUN	10	nmod
13	resulta	VERB	0	root
14	suficiente	ADJ	13	obj
15	para	ADP	16	mark
16	cubrir	VERB	13	advcl
17	el	DET	18	det
18	desplome	NOUN	16	obj
19	que	PRON	20	obj
20	sufren	VERB	18	acl
21	las	DET	22	det
22	exportaciones	NOUN	20	nsubj
23	españolas	ADJ	22	amod
24	.	PUNCT	13	punct