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:
"Hay que ordenar la llegada y la estancia para conseguir la integración y la mayor dignidad para quienes vienen a trabajar", dijo el presidente autonómico.
Postion	Tokenization
1	"
2	Hay
3	que
4	ordenar
5	la
6	llegada
7	y
8	la
9	estancia
10	para
11	conseguir
12	la
13	integración
14	y
15	la
16	mayor
17	dignidad
18	para
19	quienes
20	vienen
21	a
22	trabajar
23	"
24	,
25	dijo
26	el
27	presidente
28	autonómico
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Hay	AUX	25	ccomp
3	que	SCONJ	4	cc
4	ordenar	VERB	2	conj
5	la	DET	6	det
6	llegada	NOUN	4	obj
7	y	CCONJ	9	cc
8	la	DET	9	det
9	estancia	NOUN	6	conj
10	para	ADP	11	mark
11	conseguir	VERB	4	advcl
12	la	DET	13	det
13	integración	NOUN	11	obj
14	y	CCONJ	17	cc
15	la	DET	17	det
16	mayor	ADJ	17	amod
17	dignidad	NOUN	13	conj
18	para	ADP	20	mark
19	quienes	PRON	20	nsubj
20	vienen	VERB	11	advcl
21	a	ADP	22	mark
22	trabajar	VERB	20	advcl
23	"	PUNCT	2	punct
24	,	PUNCT	2	punct
25	dijo	VERB	0	root
26	el	DET	27	det
27	presidente	NOUN	25	nsubj
28	autonómico	ADJ	27	amod
29	.	PUNCT	25	punct