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:
La nueva estrella de los Warriors, que en los últimos cuatro partidos ha conseguido 122 puntos, logró 21 canastas de 29 tiros de campo con 7 de 8 desde la línea de personal, 13 rebotes y cinco asistencias.
Postion	Tokenization
1	La
2	nueva
3	estrella
4	de
5	los
6	Warriors
7	,
8	que
9	en
10	los
11	últimos
12	cuatro
13	partidos
14	ha
15	conseguido
16	122
17	puntos
18	,
19	logró
20	21
21	canastas
22	de
23	29
24	tiros
25	de
26	campo
27	con
28	7
29	de
30	8
31	desde
32	la
33	línea
34	de
35	personal
36	,
37	13
38	rebotes
39	y
40	cinco
41	asistencias
42	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	nueva	ADJ	3	amod
3	estrella	NOUN	19	nsubj
4	de	ADP	6	case
5	los	DET	6	det
6	Warriors	PROPN	3	nmod
7	,	PUNCT	15	punct
8	que	PRON	15	nsubj
9	en	ADP	13	case
10	los	DET	13	det
11	últimos	ADJ	10	amod
12	cuatro	NUM	10	nummod
13	partidos	NOUN	15	obl
14	ha	AUX	15	aux
15	conseguido	VERB	3	acl
16	122	NUM	17	nummod
17	puntos	NOUN	15	obj
18	,	PUNCT	15	punct
19	logró	VERB	0	root
20	21	NUM	21	nummod
21	canastas	NOUN	19	obj
22	de	ADP	24	case
23	29	NUM	24	nummod
24	tiros	NOUN	21	nmod
25	de	ADP	26	case
26	campo	NOUN	24	nmod
27	con	ADP	28	case
28	7	NUM	24	nmod
29	de	ADP	30	case
30	8	NUM	28	compound
31	desde	ADP	33	case
32	la	DET	33	det
33	línea	NOUN	24	nmod
34	de	ADP	35	case
35	personal	NOUN	33	nmod
36	,	PUNCT	38	punct
37	13	NUM	38	nummod
38	rebotes	NOUN	21	appos
39	y	CCONJ	41	cc
40	cinco	NUM	41	nummod
41	asistencias	NOUN	21	conj
42	.	PUNCT	19	punct