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:
Torre vio como positivo que los directivos de las Grandes Ligas no hayan llegado a un acuerdo sobre la suspensión de Strawberry.
Postion	Tokenization
1	Torre
2	vio
3	como
4	positivo
5	que
6	los
7	directivos
8	de
9	las
10	Grandes
11	Ligas
12	no
13	hayan
14	llegado
15	a
16	un
17	acuerdo
18	sobre
19	la
20	suspensión
21	de
22	Strawberry
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Torre	PROPN	2	nsubj
2	vio	VERB	0	root
3	como	SCONJ	2	iobj
4	positivo	ADJ	3	amod
5	que	SCONJ	14	mark
6	los	DET	7	det
7	directivos	NOUN	14	nsubj
8	de	ADP	10	case
9	las	DET	10	det
10	Grandes	PROPN	7	nmod
11	Ligas	PROPN	10	flat
12	no	ADV	14	advmod
13	hayan	AUX	14	aux
14	llegado	VERB	2	ccomp
15	a	ADP	17	case
16	un	DET	17	det
17	acuerdo	NOUN	14	obj
18	sobre	ADP	20	case
19	la	DET	20	det
20	suspensión	NOUN	17	nmod
21	de	ADP	22	case
22	Strawberry	PROPN	20	nmod
23	.	PUNCT	2	punct