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:
"Esta es una de las razones por la que el flujo de refugiados hacia Albania ha descendido en los últimos días", dijo Shea.
Postion	Tokenization
1	"
2	Esta
3	es
4	una
5	de
6	las
7	razones
8	por
9	la
10	que
11	el
12	flujo
13	de
14	refugiados
15	hacia
16	Albania
17	ha
18	descendido
19	en
20	los
21	últimos
22	días
23	"
24	,
25	dijo
26	Shea
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Esta	PRON	4	nsubj
3	es	AUX	4	cop
4	una	PRON	25	ccomp
5	de	ADP	7	case
6	las	DET	7	det
7	razones	NOUN	4	nmod
8	por	ADP	10	case
9	la	DET	10	det
10	que	PRON	18	obl
11	el	DET	12	det
12	flujo	NOUN	18	nsubj
13	de	ADP	14	case
14	refugiados	NOUN	12	nmod
15	hacia	ADP	16	case
16	Albania	PROPN	12	nmod
17	ha	AUX	18	aux
18	descendido	VERB	7	acl
19	en	ADP	22	case
20	los	DET	22	det
21	últimos	ADJ	22	amod
22	días	NOUN	18	obl
23	"	PUNCT	4	punct
24	,	PUNCT	4	punct
25	dijo	VERB	0	root
26	Shea	PROPN	25	nsubj
27	.	PUNCT	25	punct