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:
En sus antecedentes teatrales, figura un papel que en 1988 realizó en la obra de David Mamet Speed the plow.
Postion	Tokenization
1	En
2	sus
3	antecedentes
4	teatrales
5	,
6	figura
7	un
8	papel
9	que
10	en
11	1988
12	realizó
13	en
14	la
15	obra
16	de
17	David
18	Mamet
19	Speed
20	the
21	plow
22	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	sus	DET	3	det
3	antecedentes	NOUN	6	obl
4	teatrales	ADJ	3	amod
5	,	PUNCT	3	punct
6	figura	VERB	0	root
7	un	DET	8	det
8	papel	NOUN	6	nsubj
9	que	PRON	12	obj
10	en	ADP	11	case
11	1988	NOUN	12	obl
12	realizó	VERB	8	acl
13	en	ADP	15	case
14	la	DET	15	det
15	obra	NOUN	12	obl
16	de	ADP	17	case
17	David	PROPN	15	nmod
18	Mamet	PROPN	17	flat
19	Speed	PROPN	15	appos
20	the	PROPN	19	flat
21	plow	PROPN	19	flat
22	.	PUNCT	6	punct