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:
Mamet es uno de los grandes defensores del teatro realista norteamericano, aunque en sus novelas y en sus películas prefiera optar a veces por la abstracción.
Postion	Tokenization
1	Mamet
2	es
3	uno
4	de
5	los
6	grandes
7	defensores
8	del
9	teatro
10	realista
11	norteamericano
12	,
13	aunque
14	en
15	sus
16	novelas
17	y
18	en
19	sus
20	películas
21	prefiera
22	optar
23	a
24	veces
25	por
26	la
27	abstracción
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mamet	PROPN	3	nsubj
2	es	AUX	3	cop
3	uno	PRON	0	root
4	de	ADP	7	case
5	los	DET	7	det
6	grandes	ADJ	7	amod
7	defensores	NOUN	3	nmod
8	del	ADP	9	case
9	teatro	NOUN	7	nmod
10	realista	ADJ	9	amod
11	norteamericano	ADJ	9	amod
12	,	PUNCT	21	punct
13	aunque	SCONJ	21	mark
14	en	ADP	16	case
15	sus	DET	16	det
16	novelas	NOUN	21	obl
17	y	CCONJ	20	cc
18	en	ADP	20	case
19	sus	DET	20	det
20	películas	NOUN	16	conj
21	prefiera	VERB	3	advcl
22	optar	VERB	21	xcomp
23	a	ADP	22	advmod
24	veces	NOUN	23	fixed
25	por	ADP	27	case
26	la	DET	27	det
27	abstracción	NOUN	22	obj
28	.	PUNCT	3	punct