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:
Hace cuatro años el déficit era del 7 por ciento del PIB y la Seguridad Social estaba "en quiebra" y hoy, recordó, el déficit es del 1 por ciento y el sistema de prestaciones sociales tiene superávit.
Postion	Tokenization
1	Hace
2	cuatro
3	años
4	el
5	déficit
6	era
7	del
8	7
9	por
10	ciento
11	del
12	PIB
13	y
14	la
15	Seguridad
16	Social
17	estaba
18	"
19	en
20	quiebra
21	"
22	y
23	hoy
24	,
25	recordó
26	,
27	el
28	déficit
29	es
30	del
31	1
32	por
33	ciento
34	y
35	el
36	sistema
37	de
38	prestaciones
39	sociales
40	tiene
41	superávit
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	8	advcl
2	cuatro	NUM	3	nummod
3	años	NOUN	1	obj
4	el	DET	5	det
5	déficit	NOUN	8	nsubj
6	era	AUX	8	cop
7	del	ADP	8	case
8	7	NUM	0	root
9	por	ADP	10	case
10	ciento	NUM	8	compound
11	del	ADP	12	case
12	PIB	PROPN	8	nmod
13	y	CCONJ	20	cc
14	la	DET	15	det
15	Seguridad	PROPN	20	nsubj
16	Social	PROPN	15	flat
17	estaba	AUX	20	cop
18	"	PUNCT	20	punct
19	en	ADP	20	case
20	quiebra	NOUN	8	conj
21	"	PUNCT	20	punct
22	y	CCONJ	31	cc
23	hoy	ADV	31	advmod
24	,	PUNCT	25	punct
25	recordó	VERB	31	parataxis
26	,	PUNCT	25	punct
27	el	DET	28	det
28	déficit	NOUN	31	nsubj
29	es	AUX	31	cop
30	del	ADP	31	case
31	1	NUM	8	conj
32	por	ADP	33	case
33	ciento	NUM	31	compound
34	y	CCONJ	40	cc
35	el	DET	36	det
36	sistema	NOUN	40	nsubj
37	de	ADP	38	case
38	prestaciones	NOUN	36	nmod
39	sociales	ADJ	38	amod
40	tiene	VERB	31	conj
41	superávit	NOUN	40	obj
42	.	PUNCT	8	punct