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 nueva ley de extranjería, que entra hoy en vigor, ha pillado a las administraciones con parte de los deberes sin hacer.
Postion	Tokenization
1	La
2	nueva
3	ley
4	de
5	extranjería
6	,
7	que
8	entra
9	hoy
10	en
11	vigor
12	,
13	ha
14	pillado
15	a
16	las
17	administraciones
18	con
19	parte
20	de
21	los
22	deberes
23	sin
24	hacer
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	nueva	ADJ	3	amod
3	ley	NOUN	14	nsubj
4	de	ADP	5	case
5	extranjería	NOUN	3	nmod
6	,	PUNCT	8	punct
7	que	PRON	8	nsubj
8	entra	VERB	3	acl
9	hoy	ADV	8	advmod
10	en	ADP	11	case
11	vigor	NOUN	8	obl
12	,	PUNCT	8	punct
13	ha	AUX	14	aux
14	pillado	VERB	0	root
15	a	ADP	17	case
16	las	DET	17	det
17	administraciones	NOUN	14	obj
18	con	ADP	19	case
19	parte	NOUN	14	obl
20	de	ADP	22	case
21	los	DET	22	det
22	deberes	NOUN	19	nmod
23	sin	ADP	24	mark
24	hacer	VERB	19	acl
25	.	PUNCT	14	punct