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:
Los bases Ray Allen y Sam Cassell fueron los grandes protagonistas del triunfo que consiguieron por 106-96 los Bucks de Milwaukee frente a los Rockets de Houston.
Postion	Tokenization
1	Los
2	bases
3	Ray
4	Allen
5	y
6	Sam
7	Cassell
8	fueron
9	los
10	grandes
11	protagonistas
12	del
13	triunfo
14	que
15	consiguieron
16	por
17	106-96
18	los
19	Bucks
20	de
21	Milwaukee
22	frente
23	a
24	los
25	Rockets
26	de
27	Houston
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	bases	NOUN	11	nsubj
3	Ray	PROPN	2	appos
4	Allen	PROPN	3	flat
5	y	CCONJ	6	cc
6	Sam	PROPN	3	conj
7	Cassell	PROPN	6	flat
8	fueron	AUX	11	cop
9	los	DET	11	det
10	grandes	ADJ	11	amod
11	protagonistas	NOUN	0	root
12	del	ADP	13	case
13	triunfo	NOUN	11	nmod
14	que	PRON	15	obj
15	consiguieron	VERB	13	acl
16	por	ADP	17	case
17	106-96	NUM	15	obl
18	los	DET	19	det
19	Bucks	PROPN	15	nsubj
20	de	ADP	21	case
21	Milwaukee	PROPN	19	nmod
22	frente	ADV	15	advmod
23	a	ADP	25	case
24	los	DET	25	det
25	Rockets	PROPN	22	obl
26	de	ADP	27	case
27	Houston	PROPN	25	nmod
28	.	PUNCT	11	punct