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:
Antes de abrazar a su padre, Karenna Gore Schiff aseguró esta noche que "no os pido que apoyéis a Al Gore porque sea mi padre, ni siquiera porque haya sido un gran padre para sus hijos.
Postion	Tokenization
1	Antes
2	de
3	abrazar
4	a
5	su
6	padre
7	,
8	Karenna
9	Gore
10	Schiff
11	aseguró
12	esta
13	noche
14	que
15	"
16	no
17	os
18	pido
19	que
20	apoyéis
21	a
22	Al
23	Gore
24	porque
25	sea
26	mi
27	padre
28	,
29	ni
30	siquiera
31	porque
32	haya
33	sido
34	un
35	gran
36	padre
37	para
38	sus
39	hijos
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Antes	ADV	11	advmod
2	de	ADP	3	mark
3	abrazar	VERB	1	advcl
4	a	ADP	6	case
5	su	DET	6	det
6	padre	NOUN	3	obj
7	,	PUNCT	1	punct
8	Karenna	PROPN	11	nsubj
9	Gore	PROPN	8	flat
10	Schiff	PROPN	8	flat
11	aseguró	VERB	0	root
12	esta	DET	13	det
13	noche	NOUN	11	obl
14	que	SCONJ	18	mark
15	"	PUNCT	18	punct
16	no	ADV	18	advmod
17	os	PRON	18	iobj
18	pido	VERB	11	ccomp
19	que	SCONJ	20	mark
20	apoyéis	VERB	18	ccomp
21	a	ADP	23	case
22	Al	ADP	23	case
23	Gore	PROPN	20	obj
24	porque	SCONJ	27	mark
25	sea	AUX	27	cop
26	mi	DET	27	det
27	padre	NOUN	20	advcl
28	,	PUNCT	36	punct
29	ni	CCONJ	36	cc
30	siquiera	ADV	36	advmod
31	porque	SCONJ	36	mark
32	haya	AUX	36	aux
33	sido	AUX	36	cop
34	un	DET	36	det
35	gran	ADJ	36	amod
36	padre	NOUN	27	conj
37	para	ADP	39	case
38	sus	DET	39	det
39	hijos	NOUN	36	nmod
40	.	PUNCT	11	punct