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:
Anotación por cuartos: 1ro 2do 3ro 4to PO Total - Los Angeles Lakers 27 30 35 15 15 122 Golden State 31 32 19 25 18 125.
Postion	Tokenization
1	Anotación
2	por
3	cuartos
4	:
5	1ro
6	2do
7	3ro
8	4to
9	PO
10	Total
11	-
12	Los
13	Angeles
14	Lakers
15	27
16	30
17	35
18	15
19	15
20	122
21	Golden
22	State
23	31
24	32
25	19
26	25
27	18
28	125
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Anotación	NOUN	0	root
2	por	ADP	3	case
3	cuartos	NOUN	1	nmod
4	:	PUNCT	5	punct
5	1ro	ADJ	1	appos
6	2do	ADJ	5	list
7	3ro	ADJ	5	list
8	4to	ADJ	5	list
9	PO	NOUN	5	list
10	Total	NOUN	5	list
11	-	PUNCT	13	punct
12	Los	DET	13	det
13	Angeles	PROPN	1	appos
14	Lakers	PROPN	13	flat
15	27	NUM	13	appos
16	30	NUM	15	list
17	35	NUM	15	list
18	15	NUM	15	list
19	15	NUM	15	list
20	122	NUM	15	list
21	Golden	PROPN	13	list
22	State	PROPN	21	flat
23	31	NUM	21	appos
24	32	NUM	23	list
25	19	NUM	23	list
26	25	NUM	23	list
27	18	NUM	23	list
28	125	NUM	23	list
29	.	PUNCT	1	punct