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:
El texto sobre el que los Quince alcanzarán mañana una posición común incrementa la responsabilidad de estos organismos y fija indemnizaciones de responsabilidad civil en caso de que sean condenados por accidentes.
Postion	Tokenization
1	El
2	texto
3	sobre
4	el
5	que
6	los
7	Quince
8	alcanzarán
9	mañana
10	una
11	posición
12	común
13	incrementa
14	la
15	responsabilidad
16	de
17	estos
18	organismos
19	y
20	fija
21	indemnizaciones
22	de
23	responsabilidad
24	civil
25	en
26	caso
27	de
28	que
29	sean
30	condenados
31	por
32	accidentes
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	texto	NOUN	13	nsubj
3	sobre	ADP	5	case
4	el	DET	5	det
5	que	PRON	8	obl
6	los	DET	7	det
7	Quince	NUM	8	nsubj
8	alcanzarán	VERB	2	acl
9	mañana	ADV	8	advmod
10	una	DET	11	det
11	posición	NOUN	8	obj
12	común	ADJ	11	amod
13	incrementa	VERB	0	root
14	la	DET	15	det
15	responsabilidad	NOUN	13	obj
16	de	ADP	18	case
17	estos	DET	18	det
18	organismos	NOUN	15	nmod
19	y	CCONJ	20	cc
20	fija	VERB	13	conj
21	indemnizaciones	NOUN	20	obj
22	de	ADP	23	case
23	responsabilidad	NOUN	21	nmod
24	civil	ADJ	23	amod
25	en	ADP	30	mark
26	caso	NOUN	25	fixed
27	de	ADP	25	fixed
28	que	SCONJ	25	fixed
29	sean	AUX	30	aux
30	condenados	VERB	20	advcl
31	por	ADP	32	case
32	accidentes	NOUN	30	obl
33	.	PUNCT	13	punct