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:
El informe agrega que Japón mantiene su ritmo de crecimiento, cercano al 50 por ciento, y que Europa presenta un nuevo incremento del 15 por ciento.
Postion	Tokenization
1	El
2	informe
3	agrega
4	que
5	Japón
6	mantiene
7	su
8	ritmo
9	de
10	crecimiento
11	,
12	cercano
13	al
14	50
15	por
16	ciento
17	,
18	y
19	que
20	Europa
21	presenta
22	un
23	nuevo
24	incremento
25	del
26	15
27	por
28	ciento
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	informe	NOUN	3	nsubj
3	agrega	VERB	0	root
4	que	SCONJ	6	mark
5	Japón	PROPN	6	nsubj
6	mantiene	VERB	3	ccomp
7	su	DET	8	det
8	ritmo	NOUN	6	obj
9	de	ADP	10	case
10	crecimiento	NOUN	8	nmod
11	,	PUNCT	12	punct
12	cercano	ADJ	8	amod
13	al	ADP	14	case
14	50	NUM	12	nummod
15	por	ADP	16	case
16	ciento	NUM	14	compound
17	,	PUNCT	12	punct
18	y	CCONJ	21	cc
19	que	SCONJ	21	mark
20	Europa	PROPN	21	nsubj
21	presenta	VERB	6	conj
22	un	DET	24	det
23	nuevo	ADJ	24	amod
24	incremento	NOUN	21	obj
25	del	ADP	26	case
26	15	NUM	24	nummod
27	por	ADP	28	case
28	ciento	NUM	26	compound
29	.	PUNCT	3	punct