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:
Por otra parte, se ha hecho lector con Las afinidades electivas del gran Goethe... y una biografía de Rasputín.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	se
6	ha
7	hecho
8	lector
9	con
10	Las
11	afinidades
12	electivas
13	del
14	gran
15	Goethe
16	...
17	y
18	una
19	biografía
20	de
21	Rasputín
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	otra	DET	3	det
3	parte	NOUN	7	obl
4	,	PUNCT	3	punct
5	se	PRON	7	iobj
6	ha	AUX	7	aux
7	hecho	VERB	0	root
8	lector	ADJ	7	obj
9	con	ADP	11	case
10	Las	DET	11	det
11	afinidades	PROPN	7	obl
12	electivas	PROPN	11	flat
13	del	ADP	15	case
14	gran	ADJ	15	amod
15	Goethe	PROPN	10	nmod
16	...	PUNCT	19	punct
17	y	CCONJ	19	cc
18	una	DET	19	det
19	biografía	NOUN	11	conj
20	de	ADP	21	case
21	Rasputín	PROPN	19	nmod
22	.	PUNCT	7	punct