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:
Malik Rose consiguió 14 puntos y nueve rebotes, el veterano Terry Porter contribuyó con 13 tantos, mientras que Jerome Kersey capturó nueve balones debajo de los tableros y Antonio Daniels estableció su mejor marca de 10 asistencias.
Postion	Tokenization
1	Malik
2	Rose
3	consiguió
4	14
5	puntos
6	y
7	nueve
8	rebotes
9	,
10	el
11	veterano
12	Terry
13	Porter
14	contribuyó
15	con
16	13
17	tantos
18	,
19	mientras
20	que
21	Jerome
22	Kersey
23	capturó
24	nueve
25	balones
26	debajo
27	de
28	los
29	tableros
30	y
31	Antonio
32	Daniels
33	estableció
34	su
35	mejor
36	marca
37	de
38	10
39	asistencias
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Malik	PROPN	3	nsubj
2	Rose	PROPN	1	flat
3	consiguió	VERB	19	parataxis
4	14	NUM	5	nummod
5	puntos	NOUN	3	obj
6	y	CCONJ	8	cc
7	nueve	NUM	8	nummod
8	rebotes	NOUN	5	conj
9	,	PUNCT	14	punct
10	el	DET	11	det
11	veterano	NOUN	14	nsubj
12	Terry	PROPN	11	appos
13	Porter	PROPN	12	flat
14	contribuyó	VERB	3	advcl
15	con	ADP	17	case
16	13	NUM	17	nummod
17	tantos	NOUN	14	obl
18	,	PUNCT	19	punct
19	mientras	CCONJ	0	root
20	que	SCONJ	19	fixed
21	Jerome	PROPN	23	nsubj
22	Kersey	PROPN	21	flat
23	capturó	VERB	19	parataxis
24	nueve	NUM	25	nummod
25	balones	NOUN	23	obj
26	debajo	ADV	23	advmod
27	de	ADP	29	case
28	los	DET	29	det
29	tableros	NOUN	26	obl
30	y	CCONJ	33	cc
31	Antonio	PROPN	33	nsubj
32	Daniels	PROPN	31	flat
33	estableció	VERB	23	conj
34	su	DET	36	det
35	mejor	ADJ	36	amod
36	marca	NOUN	33	obj
37	de	ADP	39	case
38	10	NUM	39	nummod
39	asistencias	NOUN	36	nmod
40	.	PUNCT	19	punct