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 cambio, Katsav presentará una familia pluralista - marido sefardí y esposa ashkenazí - y tradicionalista en lo religioso, y su mensaje será que "Peres es como el Papa, que viaja por todo el mundo", mientras que él se ocupa sobre todo de los problemas internos.
Postion	Tokenization
1	En
2	cambio
3	,
4	Katsav
5	presentará
6	una
7	familia
8	pluralista
9	-
10	marido
11	sefardí
12	y
13	esposa
14	ashkenazí
15	-
16	y
17	tradicionalista
18	en
19	lo
20	religioso
21	,
22	y
23	su
24	mensaje
25	será
26	que
27	"
28	Peres
29	es
30	como
31	el
32	Papa
33	,
34	que
35	viaja
36	por
37	todo
38	el
39	mundo
40	"
41	,
42	mientras
43	que
44	él
45	se
46	ocupa
47	sobre
48	todo
49	de
50	los
51	problemas
52	internos
53	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	advmod
2	cambio	NOUN	1	fixed
3	,	PUNCT	1	punct
4	Katsav	PROPN	5	nsubj
5	presentará	VERB	0	root
6	una	DET	7	det
7	familia	NOUN	5	obj
8	pluralista	ADJ	7	amod
9	-	PUNCT	10	punct
10	marido	NOUN	8	obj
11	sefardí	ADJ	10	amod
12	y	CCONJ	13	cc
13	esposa	NOUN	10	conj
14	ashkenazí	ADJ	13	amod
15	-	PUNCT	10	punct
16	y	CCONJ	17	cc
17	tradicionalista	ADJ	8	conj
18	en	ADP	20	case
19	lo	PRON	20	det
20	religioso	ADJ	17	amod
21	,	PUNCT	25	punct
22	y	CCONJ	25	cc
23	su	DET	24	det
24	mensaje	NOUN	25	nsubj
25	será	AUX	5	conj
26	que	SCONJ	32	mark
27	"	PUNCT	32	punct
28	Peres	PROPN	32	nsubj
29	es	AUX	32	cop
30	como	SCONJ	32	mark
31	el	DET	32	det
32	Papa	PROPN	25	ccomp
33	,	PUNCT	35	punct
34	que	PRON	35	nsubj
35	viaja	VERB	32	acl
36	por	ADP	39	case
37	todo	DET	38	det
38	el	DET	39	det
39	mundo	NOUN	35	obl
40	"	PUNCT	32	punct
41	,	PUNCT	46	punct
42	mientras	CCONJ	46	mark
43	que	SCONJ	42	fixed
44	él	PRON	46	nsubj
45	se	PRON	46	expl:pv
46	ocupa	VERB	25	advcl
47	sobre	ADP	46	advmod
48	todo	PRON	47	fixed
49	de	ADP	51	case
50	los	DET	51	det
51	problemas	NOUN	46	obj
52	internos	ADJ	51	amod
53	.	PUNCT	5	punct