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:
De acuerdo con la lista de la dotación del "Kursk", entre los 118 tripulantes había al menos nueve musulmanes, tres de ellos oriundos de Daguestán.
Postion	Tokenization
1	De
2	acuerdo
3	con
4	la
5	lista
6	de
7	la
8	dotación
9	del
10	"
11	Kursk
12	"
13	,
14	entre
15	los
16	118
17	tripulantes
18	había
19	al
20	menos
21	nueve
22	musulmanes
23	,
24	tres
25	de
26	ellos
27	oriundos
28	de
29	Daguestán
30	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	5	case
2	acuerdo	NOUN	1	fixed
3	con	ADP	1	fixed
4	la	DET	5	det
5	lista	NOUN	18	obl
6	de	ADP	8	case
7	la	DET	8	det
8	dotación	NOUN	5	nmod
9	del	ADP	11	case
10	"	PUNCT	11	punct
11	Kursk	PROPN	8	nmod
12	"	PUNCT	11	punct
13	,	PUNCT	5	punct
14	entre	ADP	17	case
15	los	DET	16	det
16	118	NUM	17	nummod
17	tripulantes	NOUN	18	obl
18	había	AUX	0	root
19	al	ADP	22	advmod
20	menos	ADV	19	fixed
21	nueve	NUM	22	nummod
22	musulmanes	NOUN	18	obj
23	,	PUNCT	27	punct
24	tres	NUM	27	nummod
25	de	ADP	24	case
26	ellos	PRON	24	obj
27	oriundos	ADJ	22	amod
28	de	ADP	29	case
29	Daguestán	PROPN	27	nmod
30	.	PUNCT	18	punct