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:
Atencia calificó de "históricos" los resultados en la provincia con la triple "victoria" en Congreso, Senado y Parlamento andaluz, y ofreció la victoria a Aznar.
Postion	Tokenization
1	Atencia
2	calificó
3	de
4	"
5	históricos
6	"
7	los
8	resultados
9	en
10	la
11	provincia
12	con
13	la
14	triple
15	"
16	victoria
17	"
18	en
19	Congreso
20	,
21	Senado
22	y
23	Parlamento
24	andaluz
25	,
26	y
27	ofreció
28	la
29	victoria
30	a
31	Aznar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Atencia	PROPN	2	nsubj
2	calificó	VERB	0	root
3	de	ADP	5	case
4	"	PUNCT	5	punct
5	históricos	ADJ	2	obj
6	"	PUNCT	5	punct
7	los	DET	8	det
8	resultados	NOUN	2	obj
9	en	ADP	11	case
10	la	DET	11	det
11	provincia	NOUN	8	nmod
12	con	ADP	16	case
13	la	DET	16	det
14	triple	NUM	13	nummod
15	"	PUNCT	16	punct
16	victoria	NOUN	2	obl
17	"	PUNCT	19	punct
18	en	ADP	19	case
19	Congreso	PROPN	16	nmod
20	,	PUNCT	21	punct
21	Senado	PROPN	19	conj
22	y	CCONJ	23	cc
23	Parlamento	PROPN	19	conj
24	andaluz	ADJ	23	amod
25	,	PUNCT	27	punct
26	y	CCONJ	27	cc
27	ofreció	VERB	2	conj
28	la	DET	29	det
29	victoria	NOUN	27	obj
30	a	ADP	31	case
31	Aznar	PROPN	27	obj
32	.	PUNCT	2	punct