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:
"Sé que para Sydney existen muchas expectativas, que se espera mucho de mí y que, por tanto, habrá mucha presión.
Postion	Tokenization
1	"
2	Sé
3	que
4	para
5	Sydney
6	existen
7	muchas
8	expectativas
9	,
10	que
11	se
12	espera
13	mucho
14	de
15	mí
16	y
17	que
18	,
19	por
20	tanto
21	,
22	habrá
23	mucha
24	presión
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Sé	VERB	0	root
3	que	SCONJ	6	mark
4	para	ADP	5	case
5	Sydney	PROPN	6	obl
6	existen	VERB	2	ccomp
7	muchas	DET	8	det
8	expectativas	NOUN	6	nsubj
9	,	PUNCT	12	punct
10	que	SCONJ	12	mark
11	se	PRON	12	expl:pass
12	espera	VERB	6	advcl
13	mucho	ADV	12	obj
14	de	ADP	15	case
15	mí	PRON	12	obl
16	y	CCONJ	22	cc
17	que	SCONJ	22	mark
18	,	PUNCT	19	punct
19	por	ADP	22	advmod
20	tanto	NOUN	19	fixed
21	,	PUNCT	19	punct
22	habrá	AUX	6	conj
23	mucha	DET	24	det
24	presión	NOUN	22	obj
25	.	PUNCT	2	punct