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:
También se muestra tranquilo sobre el repunte de la inflación en España al asegurar que "las nueve décimas de diferencia de IPC con la UE no afectan a la economía".
Postion	Tokenization
1	También
2	se
3	muestra
4	tranquilo
5	sobre
6	el
7	repunte
8	de
9	la
10	inflación
11	en
12	España
13	al
14	asegurar
15	que
16	"
17	las
18	nueve
19	décimas
20	de
21	diferencia
22	de
23	IPC
24	con
25	la
26	UE
27	no
28	afectan
29	a
30	la
31	economía
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	3	advmod
2	se	PRON	3	expl:pv
3	muestra	VERB	0	root
4	tranquilo	ADJ	3	obj
5	sobre	ADP	7	case
6	el	DET	7	det
7	repunte	NOUN	3	obl
8	de	ADP	10	case
9	la	DET	10	det
10	inflación	NOUN	7	nmod
11	en	ADP	12	case
12	España	PROPN	10	nmod
13	al	ADP	14	mark
14	asegurar	VERB	3	advcl
15	que	SCONJ	28	mark
16	"	PUNCT	28	punct
17	las	DET	19	det
18	nueve	NUM	17	nummod
19	décimas	NOUN	28	nsubj
20	de	ADP	21	case
21	diferencia	NOUN	19	nmod
22	de	ADP	23	case
23	IPC	PROPN	21	nmod
24	con	ADP	26	case
25	la	DET	26	det
26	UE	PROPN	21	nmod
27	no	ADV	28	advmod
28	afectan	VERB	14	ccomp
29	a	ADP	31	case
30	la	DET	31	det
31	economía	NOUN	28	obj
32	"	PUNCT	28	punct
33	.	PUNCT	3	punct