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 operación de recogida de árboles para "reciclar" tendrá lugar entre el 5 y 17 de enero en puntos repartidos por todos los distritos.
Postion	Tokenization
1	La
2	operación
3	de
4	recogida
5	de
6	árboles
7	para
8	"
9	reciclar
10	"
11	tendrá
12	lugar
13	entre
14	el
15	5
16	y
17	17
18	de
19	enero
20	en
21	puntos
22	repartidos
23	por
24	todos
25	los
26	distritos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	operación	NOUN	11	nsubj
3	de	ADP	4	case
4	recogida	NOUN	2	nmod
5	de	ADP	6	case
6	árboles	NOUN	4	nmod
7	para	ADP	9	mark
8	"	PUNCT	9	punct
9	reciclar	VERB	6	acl
10	"	PUNCT	9	punct
11	tendrá	VERB	0	root
12	lugar	NOUN	11	compound
13	entre	ADP	15	case
14	el	DET	15	det
15	5	NUM	11	obl
16	y	CCONJ	17	cc
17	17	NUM	15	conj
18	de	ADP	19	case
19	enero	NOUN	17	compound
20	en	ADP	21	case
21	puntos	NOUN	11	obl
22	repartidos	ADJ	21	amod
23	por	ADP	26	case
24	todos	DET	25	det
25	los	DET	26	det
26	distritos	NOUN	22	obl
27	.	PUNCT	11	punct