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 presidente del Gobierno dejó claro que "no hay políticas iguales" sino que hay algunas, como las del PP, que bajan los impuestos, mientras otras las suben, "que aumentan la deuda o la bajan", "que disparan el déficit y que lo reducen".
Postion	Tokenization
1	El
2	presidente
3	del
4	Gobierno
5	dejó
6	claro
7	que
8	"
9	no
10	hay
11	políticas
12	iguales
13	"
14	sino
15	que
16	hay
17	algunas
18	,
19	como
20	las
21	del
22	PP
23	,
24	que
25	bajan
26	los
27	impuestos
28	,
29	mientras
30	otras
31	las
32	suben
33	,
34	"
35	que
36	aumentan
37	la
38	deuda
39	o
40	la
41	bajan
42	"
43	,
44	"
45	que
46	disparan
47	el
48	déficit
49	y
50	que
51	lo
52	reducen
53	"
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	5	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	dejó	VERB	0	root
6	claro	ADJ	5	obj
7	que	SCONJ	10	mark
8	"	PUNCT	10	punct
9	no	ADV	10	advmod
10	hay	AUX	5	ccomp
11	políticas	NOUN	10	obj
12	iguales	ADJ	11	amod
13	"	PUNCT	16	punct
14	sino	CCONJ	16	cc
15	que	SCONJ	14	fixed
16	hay	AUX	10	conj
17	algunas	PRON	16	obj
18	,	PUNCT	20	punct
19	como	SCONJ	20	mark
20	las	DET	17	det
21	del	ADP	20	case
22	PP	PROPN	20	nmod
23	,	PUNCT	20	punct
24	que	PRON	25	nsubj
25	bajan	VERB	17	acl
26	los	DET	27	det
27	impuestos	NOUN	25	obj
28	,	PUNCT	32	punct
29	mientras	SCONJ	32	mark
30	otras	PRON	32	nsubj
31	las	PRON	32	obj
32	suben	VERB	25	advcl
33	,	PUNCT	25	punct
34	"	PUNCT	36	punct
35	que	PRON	36	nsubj
36	aumentan	VERB	25	advcl
37	la	DET	38	det
38	deuda	NOUN	36	obj
39	o	CCONJ	41	cc
40	la	PRON	41	obj
41	bajan	VERB	36	conj
42	"	PUNCT	36	punct
43	,	PUNCT	25	punct
44	"	PUNCT	46	punct
45	que	PRON	46	nsubj
46	disparan	VERB	25	advcl
47	el	DET	48	det
48	déficit	NOUN	46	obj
49	y	CCONJ	52	cc
50	que	PRON	52	nsubj
51	lo	PRON	52	obj
52	reducen	VERB	46	conj
53	"	PUNCT	46	punct
54	.	PUNCT	5	punct