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:
Su principal avance sobre la filosofía de Leibniz lo cifró siempre en que, a diferencia de éste, reconoce la sensibilidad como fuente de un conocimiento distinto del intelectual.
Postion	Tokenization
1	Su
2	principal
3	avance
4	sobre
5	la
6	filosofía
7	de
8	Leibniz
9	lo
10	cifró
11	siempre
12	en
13	que
14	,
15	a
16	diferencia
17	de
18	éste
19	,
20	reconoce
21	la
22	sensibilidad
23	como
24	fuente
25	de
26	un
27	conocimiento
28	distinto
29	del
30	intelectual
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	3	det
2	principal	ADJ	3	amod
3	avance	NOUN	10	iobj
4	sobre	ADP	6	case
5	la	DET	6	det
6	filosofía	NOUN	3	nmod
7	de	ADP	8	case
8	Leibniz	PROPN	6	nmod
9	lo	PRON	10	iobj
10	cifró	VERB	0	root
11	siempre	ADV	10	advmod
12	en	ADP	20	mark
13	que	SCONJ	20	mark
14	,	PUNCT	16	punct
15	a	ADP	16	case
16	diferencia	NOUN	20	obl
17	de	ADP	18	case
18	éste	PRON	16	nmod
19	,	PUNCT	16	punct
20	reconoce	VERB	10	ccomp
21	la	DET	22	det
22	sensibilidad	NOUN	20	obj
23	como	SCONJ	24	mark
24	fuente	NOUN	20	obl
25	de	ADP	27	case
26	un	DET	27	det
27	conocimiento	NOUN	24	nmod
28	distinto	ADJ	27	amod
29	del	ADP	30	case
30	intelectual	ADJ	28	amod
31	.	PUNCT	10	punct