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:
Estas previsiones "se basan en unos supuestos de emisión continuistas con lo realizado este año" que intentan compatibilizar los objetivos de minimizar la carga financiera y el riesgo de refinanciación.
Postion	Tokenization
1	Estas
2	previsiones
3	"
4	se
5	basan
6	en
7	unos
8	supuestos
9	de
10	emisión
11	continuistas
12	con
13	lo
14	realizado
15	este
16	año
17	"
18	que
19	intentan
20	compatibilizar
21	los
22	objetivos
23	de
24	minimizar
25	la
26	carga
27	financiera
28	y
29	el
30	riesgo
31	de
32	refinanciación
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Estas	DET	2	det
2	previsiones	NOUN	5	nsubj
3	"	PUNCT	5	punct
4	se	PRON	5	expl:pass
5	basan	VERB	0	root
6	en	ADP	8	case
7	unos	DET	8	det
8	supuestos	NOUN	5	obj
9	de	ADP	10	case
10	emisión	NOUN	8	nmod
11	continuistas	ADJ	8	amod
12	con	ADP	14	case
13	lo	PRON	14	det
14	realizado	ADJ	11	amod
15	este	DET	16	det
16	año	NOUN	14	obl
17	"	PUNCT	19	punct
18	que	PRON	19	nsubj
19	intentan	VERB	8	acl
20	compatibilizar	VERB	19	xcomp
21	los	DET	22	det
22	objetivos	NOUN	20	obj
23	de	ADP	24	mark
24	minimizar	VERB	22	acl
25	la	DET	26	det
26	carga	NOUN	24	obj
27	financiera	ADJ	26	amod
28	y	CCONJ	30	cc
29	el	DET	30	det
30	riesgo	NOUN	26	conj
31	de	ADP	32	case
32	refinanciación	NOUN	30	nmod
33	.	PUNCT	5	punct