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:
La Generalitat repartirá un total de 465 millones de pesetas entre 70.000 personas que ingresan menos de 35.000 pesetas al mes.
Postion	Tokenization
1	La
2	Generalitat
3	repartirá
4	un
5	total
6	de
7	465
8	millones
9	de
10	pesetas
11	entre
12	70.000
13	personas
14	que
15	ingresan
16	menos
17	de
18	35.000
19	pesetas
20	al
21	mes
22	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Generalitat	PROPN	3	nsubj
3	repartirá	VERB	0	root
4	un	PRON	7	nmod
5	total	ADJ	7	amod
6	de	ADP	7	case
7	465	NUM	8	nummod
8	millones	NOUN	3	obj
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	entre	ADP	13	case
12	70.000	NUM	13	nummod
13	personas	NOUN	3	obl
14	que	PRON	15	nsubj
15	ingresan	VERB	13	acl
16	menos	ADV	19	advmod
17	de	ADP	16	case
18	35.000	NUM	16	nummod
19	pesetas	NOUN	15	obj
20	al	ADP	21	case
21	mes	NOUN	19	nmod
22	.	PUNCT	3	punct