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 de la ONCE, José María Arroyo, calificó de "restrictivos" los presupuestos para 1999, a pesar de que se elevarán a 434.000 millones de pesetas.
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	ONCE
6	,
7	José
8	María
9	Arroyo
10	,
11	calificó
12	de
13	"
14	restrictivos
15	"
16	los
17	presupuestos
18	para
19	1999
20	,
21	a
22	pesar
23	de
24	que
25	se
26	elevarán
27	a
28	434.000
29	millones
30	de
31	pesetas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	11	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	ONCE	PROPN	2	nmod
6	,	PUNCT	7	punct
7	José	PROPN	5	flat
8	María	PROPN	7	flat
9	Arroyo	PROPN	7	flat
10	,	PUNCT	7	punct
11	calificó	VERB	0	root
12	de	ADP	14	case
13	"	PUNCT	14	punct
14	restrictivos	ADJ	11	obj
15	"	PUNCT	14	punct
16	los	DET	17	det
17	presupuestos	NOUN	11	obj
18	para	ADP	19	case
19	1999	NOUN	17	nmod
20	,	PUNCT	26	punct
21	a	ADP	26	mark
22	pesar	NOUN	21	fixed
23	de	ADP	21	fixed
24	que	SCONJ	21	fixed
25	se	PRON	26	expl:pv
26	elevarán	VERB	11	advcl
27	a	ADP	29	case
28	434.000	NUM	29	nummod
29	millones	NOUN	26	obj
30	de	ADP	31	case
31	pesetas	NOUN	29	nmod
32	.	PUNCT	11	punct