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:
En la carrera demócrata, el simple hecho de que Gore no lograse batir fácilmente a Bradley, como vaticinaban los sondeos, fue ya una derrota para el vicepresidente demócrata y heredero político de Bill Clinton.
Postion	Tokenization
1	En
2	la
3	carrera
4	demócrata
5	,
6	el
7	simple
8	hecho
9	de
10	que
11	Gore
12	no
13	lograse
14	batir
15	fácilmente
16	a
17	Bradley
18	,
19	como
20	vaticinaban
21	los
22	sondeos
23	,
24	fue
25	ya
26	una
27	derrota
28	para
29	el
30	vicepresidente
31	demócrata
32	y
33	heredero
34	político
35	de
36	Bill
37	Clinton
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	carrera	NOUN	27	obl
4	demócrata	ADJ	3	amod
5	,	PUNCT	3	punct
6	el	DET	8	det
7	simple	ADJ	8	amod
8	hecho	NOUN	27	nsubj
9	de	ADP	13	mark
10	que	SCONJ	13	mark
11	Gore	PROPN	13	nsubj
12	no	ADV	13	advmod
13	lograse	VERB	8	acl
14	batir	VERB	13	xcomp
15	fácilmente	ADV	14	advmod
16	a	ADP	17	case
17	Bradley	PROPN	14	obj
18	,	PUNCT	20	punct
19	como	SCONJ	20	mark
20	vaticinaban	VERB	13	advcl
21	los	DET	22	det
22	sondeos	NOUN	20	nsubj
23	,	PUNCT	20	punct
24	fue	AUX	27	cop
25	ya	ADV	27	advmod
26	una	DET	27	det
27	derrota	NOUN	0	root
28	para	ADP	30	case
29	el	DET	30	det
30	vicepresidente	NOUN	27	obl
31	demócrata	ADJ	30	amod
32	y	CCONJ	33	cc
33	heredero	NOUN	30	conj
34	político	ADJ	33	amod
35	de	ADP	36	case
36	Bill	PROPN	33	nmod
37	Clinton	PROPN	36	flat
38	.	PUNCT	27	punct