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:
¡gran éxito!, ¡despegue económico!, ¡durante esta legislatura hemos pasado de una rata y media a dos ratas por persona!
Postion	Tokenization
1	¡
2	gran
3	éxito
4	!
5	,
6	¡
7	despegue
8	económico
9	!
10	,
11	¡
12	durante
13	esta
14	legislatura
15	hemos
16	pasado
17	de
18	una
19	rata
20	y
21	media
22	a
23	dos
24	ratas
25	por
26	persona
27	!
Position	Tokenization	UPOS	Head	Deprel
1	¡	PUNCT	3	punct
2	gran	ADJ	3	amod
3	éxito	NOUN	0	root
4	!	PUNCT	3	punct
5	,	PUNCT	3	punct
6	¡	PUNCT	7	punct
7	despegue	NOUN	3	nmod
8	económico	ADJ	7	amod
9	!	PUNCT	7	punct
10	,	PUNCT	3	punct
11	¡	PUNCT	16	punct
12	durante	ADP	14	case
13	esta	DET	14	det
14	legislatura	NOUN	16	obl
15	hemos	AUX	16	aux
16	pasado	VERB	3	acl
17	de	ADP	19	case
18	una	DET	19	det
19	rata	NOUN	16	obl
20	y	CCONJ	21	cc
21	media	NUM	19	conj
22	a	ADP	24	case
23	dos	NUM	24	nummod
24	ratas	NOUN	16	obl
25	por	ADP	26	case
26	persona	NOUN	16	obl
27	!	PUNCT	3	punct