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:
Rusconi, bregado en mil batallas en la Liga italiana, se hizo dueño de la canasta sevillana, y Bennett se comió a Turner y a quien se puso por delante.
Postion	Tokenization
1	Rusconi
2	,
3	bregado
4	en
5	mil
6	batallas
7	en
8	la
9	Liga
10	italiana
11	,
12	se
13	hizo
14	dueño
15	de
16	la
17	canasta
18	sevillana
19	,
20	y
21	Bennett
22	se
23	comió
24	a
25	Turner
26	y
27	a
28	quien
29	se
30	puso
31	por
32	delante
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Rusconi	PROPN	13	nsubj
2	,	PUNCT	3	punct
3	bregado	ADJ	1	amod
4	en	ADP	6	case
5	mil	NUM	6	nummod
6	batallas	NOUN	3	obl
7	en	ADP	9	case
8	la	DET	9	det
9	Liga	PROPN	3	obl
10	italiana	ADJ	9	amod
11	,	PUNCT	3	punct
12	se	PRON	13	iobj
13	hizo	VERB	0	root
14	dueño	NOUN	13	obj
15	de	ADP	17	case
16	la	DET	17	det
17	canasta	NOUN	14	nmod
18	sevillana	ADJ	17	amod
19	,	PUNCT	23	punct
20	y	CCONJ	23	cc
21	Bennett	PROPN	23	nsubj
22	se	PRON	23	iobj
23	comió	VERB	13	conj
24	a	ADP	25	case
25	Turner	PROPN	23	obj
26	y	CCONJ	30	cc
27	a	ADP	30	mark
28	quien	PRON	30	nsubj
29	se	PRON	30	obj
30	puso	VERB	25	conj
31	por	ADP	32	case
32	delante	ADV	30	advmod
33	.	PUNCT	13	punct