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:
En su editorial, el diario califica de halagüeñas las previsiones del informe de la OCDE, pues "el déficit se puede reducir este mismo año 2000 al 0,5 % del PIB, todo un récord".
Postion	Tokenization
1	En
2	su
3	editorial
4	,
5	el
6	diario
7	califica
8	de
9	halagüeñas
10	las
11	previsiones
12	del
13	informe
14	de
15	la
16	OCDE
17	,
18	pues
19	"
20	el
21	déficit
22	se
23	puede
24	reducir
25	este
26	mismo
27	año
28	2000
29	al
30	0,5
31	%
32	del
33	PIB
34	,
35	todo
36	un
37	récord
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	editorial	NOUN	7	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	diario	NOUN	7	nsubj
7	califica	VERB	0	root
8	de	ADP	9	case
9	halagüeñas	ADJ	7	obj
10	las	DET	11	det
11	previsiones	NOUN	7	obj
12	del	ADP	13	case
13	informe	NOUN	11	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	OCDE	PROPN	13	nmod
17	,	PUNCT	24	punct
18	pues	SCONJ	24	mark
19	"	PUNCT	24	punct
20	el	DET	21	det
21	déficit	NOUN	24	nsubj
22	se	PRON	24	expl:pv
23	puede	AUX	24	aux
24	reducir	VERB	7	advcl
25	este	DET	27	det
26	mismo	ADV	27	advmod
27	año	NOUN	24	obl
28	2000	NUM	27	compound
29	al	ADP	30	case
30	0,5	NUM	24	obj
31	%	SYM	30	nmod
32	del	ADP	33	case
33	PIB	PROPN	30	nmod
34	,	PUNCT	37	punct
35	todo	DET	37	det
36	un	DET	35	det
37	récord	NOUN	30	appos
38	"	PUNCT	24	punct
39	.	PUNCT	7	punct