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:
Si Demócrito dirige su humor hacia los demás, a costa de los otros, Heráclito piensa en el instante que huye y se angustia.
Postion	Tokenization
1	Si
2	Demócrito
3	dirige
4	su
5	humor
6	hacia
7	los
8	demás
9	,
10	a
11	costa
12	de
13	los
14	otros
15	,
16	Heráclito
17	piensa
18	en
19	el
20	instante
21	que
22	huye
23	y
24	se
25	angustia
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	3	mark
2	Demócrito	PROPN	3	nsubj
3	dirige	VERB	17	advcl
4	su	DET	5	det
5	humor	NOUN	3	obj
6	hacia	ADP	8	case
7	los	DET	8	det
8	demás	PRON	3	obj
9	,	PUNCT	14	punct
10	a	ADP	14	case
11	costa	NOUN	10	fixed
12	de	ADP	10	fixed
13	los	DET	14	det
14	otros	PRON	3	obl
15	,	PUNCT	14	punct
16	Heráclito	PROPN	17	nsubj
17	piensa	VERB	0	root
18	en	ADP	20	case
19	el	DET	20	det
20	instante	NOUN	17	obj
21	que	PRON	22	obl
22	huye	VERB	20	acl
23	y	CCONJ	25	cc
24	se	PRON	25	expl:pv
25	angustia	VERB	22	conj
26	.	PUNCT	17	punct