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:
Mañana, Al Gore, de 53 años, aceptará el ofrecimiento de su partido en el discurso final de esta convención, con lo que se convertirá oficialmente en el candidato demócrata a la Casa Blanca.
Postion	Tokenization
1	Mañana
2	,
3	Al
4	Gore
5	,
6	de
7	53
8	años
9	,
10	aceptará
11	el
12	ofrecimiento
13	de
14	su
15	partido
16	en
17	el
18	discurso
19	final
20	de
21	esta
22	convención
23	,
24	con
25	lo
26	que
27	se
28	convertirá
29	oficialmente
30	en
31	el
32	candidato
33	demócrata
34	a
35	la
36	Casa
37	Blanca
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Mañana	ADV	10	advmod
2	,	PUNCT	1	punct
3	Al	ADP	8	case
4	Gore	PROPN	10	nsubj
5	,	PUNCT	8	punct
6	de	ADP	8	case
7	53	NUM	8	nummod
8	años	NOUN	4	nmod
9	,	PUNCT	8	punct
10	aceptará	VERB	0	root
11	el	DET	12	det
12	ofrecimiento	NOUN	10	obj
13	de	ADP	15	case
14	su	DET	15	det
15	partido	NOUN	12	nmod
16	en	ADP	18	case
17	el	DET	18	det
18	discurso	NOUN	10	obl
19	final	ADJ	18	amod
20	de	ADP	22	case
21	esta	DET	22	det
22	convención	NOUN	18	nmod
23	,	PUNCT	28	punct
24	con	ADP	28	mark
25	lo	PRON	28	det
26	que	PRON	28	obl
27	se	PRON	28	expl:pv
28	convertirá	VERB	10	advcl
29	oficialmente	ADV	28	advmod
30	en	ADP	32	case
31	el	DET	32	det
32	candidato	NOUN	28	obj
33	demócrata	ADJ	32	amod
34	a	ADP	36	case
35	la	DET	36	det
36	Casa	PROPN	32	nmod
37	Blanca	PROPN	36	flat
38	.	PUNCT	10	punct