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:
Edward Kennedy, que fue presentado por su sobrina, aseguró que sólo ha apoyado tanto y con tanto entusiasmo a otros dos candidatos presidenciales: sus hermanos John y Robert.
Postion	Tokenization
1	Edward
2	Kennedy
3	,
4	que
5	fue
6	presentado
7	por
8	su
9	sobrina
10	,
11	aseguró
12	que
13	sólo
14	ha
15	apoyado
16	tanto
17	y
18	con
19	tanto
20	entusiasmo
21	a
22	otros
23	dos
24	candidatos
25	presidenciales
26	:
27	sus
28	hermanos
29	John
30	y
31	Robert
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Edward	PROPN	11	nsubj
2	Kennedy	PROPN	1	flat
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	fue	AUX	6	aux
6	presentado	VERB	1	acl
7	por	ADP	9	case
8	su	DET	9	det
9	sobrina	NOUN	6	obj
10	,	PUNCT	6	punct
11	aseguró	VERB	0	root
12	que	SCONJ	15	mark
13	sólo	ADV	15	advmod
14	ha	AUX	15	aux
15	apoyado	VERB	11	ccomp
16	tanto	ADV	15	advmod
17	y	CCONJ	20	cc
18	con	ADP	20	case
19	tanto	DET	20	det
20	entusiasmo	NOUN	16	conj
21	a	ADP	24	case
22	otros	DET	24	det
23	dos	NUM	22	nummod
24	candidatos	NOUN	15	obj
25	presidenciales	ADJ	24	amod
26	:	PUNCT	28	punct
27	sus	DET	28	det
28	hermanos	NOUN	24	appos
29	John	PROPN	28	appos
30	y	CCONJ	31	cc
31	Robert	PROPN	29	conj
32	.	PUNCT	11	punct