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 capital argentina se ha nutrido de población inmigrada llegada de media Europa, entre la que la gallega demuestra ser la que vive más años.
Postion	Tokenization
1	La
2	capital
3	argentina
4	se
5	ha
6	nutrido
7	de
8	población
9	inmigrada
10	llegada
11	de
12	media
13	Europa
14	,
15	entre
16	la
17	que
18	la
19	gallega
20	demuestra
21	ser
22	la
23	que
24	vive
25	más
26	años
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	capital	NOUN	6	nsubj
3	argentina	ADJ	2	amod
4	se	PRON	6	expl:pv
5	ha	AUX	6	aux
6	nutrido	VERB	0	root
7	de	ADP	8	case
8	población	NOUN	6	obl
9	inmigrada	ADJ	8	amod
10	llegada	ADJ	8	amod
11	de	ADP	13	case
12	media	NUM	13	nummod
13	Europa	PROPN	10	obl
14	,	PUNCT	20	punct
15	entre	ADP	17	case
16	la	DET	17	det
17	que	PRON	20	obl
18	la	DET	19	det
19	gallega	NOUN	20	nsubj
20	demuestra	VERB	8	acl
21	ser	AUX	20	xcomp
22	la	DET	24	det
23	que	PRON	24	nsubj
24	vive	VERB	21	ccomp
25	más	ADV	26	advmod
26	años	NOUN	24	obl
27	.	PUNCT	6	punct